├── .Rbuildignore ├── .github ├── .gitignore └── workflows │ └── R-CMD-check.yaml ├── .gitignore ├── CONCEPTS ├── DESCRIPTION ├── NAMESPACE ├── NEWS.md ├── R ├── datsearch.r ├── prep_dat.r └── rd_generator.r ├── README.md ├── _pkgdown.yml ├── data-raw ├── .rfiles.txt ├── dat.aloe2013.r ├── dat.aloe2013.txt ├── dat.anand1999.r ├── dat.anand1999.txt ├── dat.assink2016.r ├── dat.assink2016.txt ├── dat.axfors2021.csv ├── dat.axfors2021.r ├── dat.bakdash2021.csv ├── dat.bakdash2021.r ├── dat.baker2009.r ├── dat.baker2009.txt ├── dat.bangertdrowns2004.r ├── dat.bangertdrowns2004.txt ├── dat.bartos2023.r ├── dat.bartos2023.txt ├── dat.baskerville2012.r ├── dat.baskerville2012.txt ├── dat.bassler2004.r ├── dat.bassler2004.txt ├── dat.bcg.r ├── dat.bcg.txt ├── dat.begg1989.r ├── dat.begg1989.txt ├── dat.berkey1998.r ├── dat.berkey1998.txt ├── dat.besson2016.csv ├── dat.besson2016.r ├── dat.bonett2010.r ├── dat.bonett2010.txt ├── dat.bornmann2007.r ├── dat.bornmann2007.txt ├── dat.bourassa1996.r ├── dat.bourassa1996.txt ├── dat.cannon2006.r ├── dat.cannon2006.txt ├── dat.cohen1981.r ├── dat.cohen1981.txt ├── dat.colditz1994.r ├── dat.colditz1994.txt ├── dat.collins1985a.r ├── dat.collins1985a.txt ├── dat.collins1985b.r ├── dat.collins1985b.txt ├── dat.craft2003.r ├── dat.craft2003.txt ├── dat.crede2010.r ├── dat.crede2010.txt ├── dat.crisafulli2020.csv ├── dat.crisafulli2020.r ├── dat.curtin2002.r ├── dat.curtin2002.txt ├── dat.curtis1998.r ├── dat.curtis1998.txt ├── dat.dagostino1998.r ├── dat.dagostino1998.txt ├── dat.damico2009.r ├── dat.damico2009.txt ├── dat.debruin2009.r ├── dat.debruin2009.txt ├── dat.dogliotti2014.r ├── dat.dogliotti2014.txt ├── dat.dong2013.r ├── dat.dong2013.txt ├── dat.dorn2007.r ├── dat.dorn2007.txt ├── dat.dumouchel1994.csv ├── dat.dumouchel1994.r ├── dat.egger2001.r ├── dat.egger2001.txt ├── dat.fine1993.r ├── dat.fine1993.txt ├── dat.franchini2012.r ├── dat.franchini2012.txt ├── dat.frank2008.r ├── dat.frank2008.txt ├── dat.furukawa2003.r ├── dat.furukawa2003.txt ├── dat.gibson2002.r ├── dat.gibson2002.txt ├── dat.graves2010.r ├── dat.graves2010.txt ├── dat.gurusamy2011.r ├── dat.gurusamy2011.txt ├── dat.hackshaw1998.r ├── dat.hackshaw1998.txt ├── dat.hahn2001.r ├── dat.hahn2001.txt ├── dat.hannum2020.csv ├── dat.hannum2020.r ├── dat.hart1999.r ├── dat.hart1999.txt ├── dat.hartmannboyce2018.r ├── dat.hartmannboyce2018.txt ├── dat.hasselblad1998.r ├── dat.hasselblad1998.txt ├── dat.hine1989.r ├── dat.hine1989.txt ├── dat.ishak2007.r ├── dat.ishak2007.txt ├── dat.kalaian1996.r ├── dat.kalaian1996.txt ├── dat.kearon1998.r ├── dat.kearon1998.txt ├── dat.knapp2017.r ├── dat.knapp2017.txt ├── dat.konstantopoulos2011.r ├── dat.konstantopoulos2011.txt ├── dat.landenberger2005.r ├── dat.landenberger2005.txt ├── dat.laopaiboon2015.r ├── dat.laopaiboon2015.txt ├── dat.lau1992.r ├── dat.lau1992.txt ├── dat.lee2004.r ├── dat.lee2004.txt ├── dat.lehmann2018.csv ├── dat.lehmann2018.r ├── dat.li2007.r ├── dat.li2007.txt ├── dat.lim2014.dat1.txt ├── dat.lim2014.dat2.txt ├── dat.lim2014.dat3.txt ├── dat.lim2014.dat4.txt ├── dat.lim2014.r ├── dat.lim2014.tree1.tre ├── dat.lim2014.tree2.tre ├── dat.lim2014.tree3.tre ├── dat.lim2014.tree4.tre ├── dat.linde2005.r ├── dat.linde2005.txt ├── dat.linde2015.r ├── dat.linde2015.txt ├── dat.linde2016.r ├── dat.linde2016.txt ├── dat.lopez2019.r ├── dat.lopez2019.txt ├── dat.maire2019.data.txt ├── dat.maire2019.dmat.txt ├── dat.maire2019.r ├── dat.mccurdy2020.r ├── dat.mccurdy2020.txt ├── dat.mcdaniel1994.r ├── dat.mcdaniel1994.txt ├── dat.michael2013.csv ├── dat.michael2013.r ├── dat.molloy2014.r ├── dat.molloy2014.txt ├── dat.moura2021.r ├── dat.moura2021.tre ├── dat.moura2021.txt ├── dat.nakagawa2007.csv ├── dat.nakagawa2007.r ├── dat.nielweise2007.r ├── dat.nielweise2007.txt ├── dat.nielweise2008.r ├── dat.nielweise2008.txt ├── dat.normand1999.r ├── dat.normand1999.txt ├── dat.obrien2003.r ├── dat.obrien2003.txt ├── dat.pagliaro1992.r ├── dat.pagliaro1992.txt ├── dat.pignon2000.r ├── dat.pignon2000.txt ├── dat.pritz1997.r ├── dat.pritz1997.txt ├── dat.raudenbush1985.r ├── dat.raudenbush1985.txt ├── dat.riley2003.r ├── dat.riley2003.txt ├── dat.roever2022.csv ├── dat.roever2022.r ├── dat.senn2013.r ├── dat.senn2013.txt ├── dat.spooner2002.csv ├── dat.spooner2002.r ├── dat.stowe2010.r ├── dat.stowe2010.txt ├── dat.tannersmith2016.r ├── dat.tannersmith2016.txt ├── dat.ursino2021.csv ├── dat.ursino2021.r ├── dat.vanhowe1999.r ├── dat.vanhowe1999.txt ├── dat.viechtbauer2021.r ├── dat.viechtbauer2021.txt ├── dat.white2020.csv ├── dat.white2020.r ├── dat.woods2010.r ├── dat.woods2010.txt ├── dat.yusuf1985.r └── dat.yusuf1985.txt ├── data ├── dat.aloe2013.rda ├── dat.anand1999.rda ├── dat.assink2016.rda ├── dat.axfors2021.rda ├── dat.bakdash2021.rda ├── dat.baker2009.rda ├── dat.bangertdrowns2004.rda ├── dat.bartos2023.rda ├── dat.baskerville2012.rda ├── dat.bassler2004.rda ├── dat.bcg.rda ├── dat.begg1989.rda ├── dat.berkey1998.rda ├── dat.besson2016.rda ├── dat.bonett2010.rda ├── dat.bornmann2007.rda ├── dat.bourassa1996.rda ├── dat.cannon2006.rda ├── dat.cohen1981.rda ├── dat.colditz1994.rda ├── dat.collins1985a.rda ├── dat.collins1985b.rda ├── dat.craft2003.rda ├── dat.crede2010.rda ├── dat.crisafulli2020.rda ├── dat.curtin2002.rda ├── dat.curtis1998.rda ├── dat.dagostino1998.rda ├── dat.damico2009.rda ├── dat.debruin2009.rda ├── dat.dogliotti2014.rda ├── dat.dong2013.rda ├── dat.dorn2007.rda ├── dat.dumouchel1994.rda ├── dat.egger2001.rda ├── dat.fine1993.rda ├── dat.franchini2012.rda ├── dat.frank2008.rda ├── dat.furukawa2003.rda ├── dat.gibson2002.rda ├── dat.graves2010.rda ├── dat.gurusamy2011.rda ├── dat.hackshaw1998.rda ├── dat.hahn2001.rda ├── dat.hannum2020.rda ├── dat.hart1999.rda ├── dat.hartmannboyce2018.rda ├── dat.hasselblad1998.rda ├── dat.hine1989.rda ├── dat.ishak2007.rda ├── dat.kalaian1996.rda ├── dat.kearon1998.rda ├── dat.knapp2017.rda ├── dat.konstantopoulos2011.rda ├── dat.landenberger2005.rda ├── dat.laopaiboon2015.rda ├── dat.lau1992.rda ├── dat.lee2004.rda ├── dat.lehmann2018.rda ├── dat.li2007.rda ├── dat.lim2014.rda ├── dat.linde2005.rda ├── dat.linde2015.rda ├── dat.linde2016.rda ├── dat.lopez2019.rda ├── dat.maire2019.rda ├── dat.mccurdy2020.rda ├── dat.mcdaniel1994.rda ├── dat.michael2013.rda ├── dat.molloy2014.rda ├── dat.moura2021.rda ├── dat.nakagawa2007.rda ├── dat.nielweise2007.rda ├── dat.nielweise2008.rda ├── dat.normand1999.rda ├── dat.obrien2003.rda ├── dat.pagliaro1992.rda ├── dat.pignon2000.rda ├── dat.pritz1997.rda ├── dat.raudenbush1985.rda ├── dat.riley2003.rda ├── dat.roever2022.rda ├── dat.senn2013.rda ├── dat.spooner2002.rda ├── dat.stowe2010.rda ├── dat.tannersmith2016.rda ├── dat.ursino2021.rda ├── dat.vanhowe1999.rda ├── dat.viechtbauer2021.rda ├── dat.white2020.rda ├── dat.woods2010.rda └── dat.yusuf1985.rda ├── docs ├── 404.html ├── authors.html ├── bootstrap-toc.css ├── bootstrap-toc.js ├── code-color-scheme-dark.css ├── code-color-scheme-light.css ├── darkswitch.js ├── docsearch.css ├── docsearch.js ├── docsearch.json ├── index.html ├── link.svg ├── news │ └── index.html ├── pkgdown.css ├── pkgdown.js ├── pkgdown.yml ├── preferably.css ├── reference │ ├── dat.aloe2013.html │ ├── dat.anand1999.html │ ├── dat.assink2016.html │ ├── dat.axfors2021.html │ ├── dat.bakdash2021-1.png │ ├── dat.bakdash2021-2.png │ ├── dat.bakdash2021.html │ ├── dat.baker2009-1.png │ ├── dat.baker2009-2.png │ ├── dat.baker2009-3.png │ ├── dat.baker2009.html │ ├── dat.bangertdrowns2004.html │ ├── dat.bartos2023-1.png │ ├── dat.bartos2023-2.png │ ├── dat.bartos2023-3.png │ ├── dat.bartos2023.html │ ├── dat.baskerville2012-1.png │ ├── dat.baskerville2012.html │ ├── dat.bassler2004.html │ ├── dat.bcg-1.png │ ├── dat.bcg.html │ ├── dat.begg1989.html │ ├── dat.berkey1998.html │ ├── dat.besson2016.html │ ├── dat.bonett2010-1.png │ ├── dat.bonett2010.html │ ├── dat.bornmann2007.html │ ├── dat.bourassa1996.html │ ├── dat.cannon2006-1.png │ ├── dat.cannon2006.html │ ├── dat.cohen1981.html │ ├── dat.colditz1994-1.png │ ├── dat.colditz1994.html │ ├── dat.collins1985a-1.png │ ├── dat.collins1985a.html │ ├── dat.collins1985b.html │ ├── dat.craft2003.html │ ├── dat.crede2010.html │ ├── dat.crisafulli2020-1.png │ ├── dat.crisafulli2020.html │ ├── dat.curtin2002.html │ ├── dat.curtis1998.html │ ├── dat.dagostino1998.html │ ├── dat.damico2009.html │ ├── dat.debruin2009.html │ ├── dat.dogliotti2014-1.png │ ├── dat.dogliotti2014-2.png │ ├── dat.dogliotti2014-3.png │ ├── dat.dogliotti2014.html │ ├── dat.dong2013-1.png │ ├── dat.dong2013-2.png │ ├── dat.dong2013.html │ ├── dat.dorn2007-1.png │ ├── dat.dorn2007-2.png │ ├── dat.dorn2007.html │ ├── dat.dumouchel1994-1.png │ ├── dat.dumouchel1994-2.png │ ├── dat.dumouchel1994-3.png │ ├── dat.dumouchel1994-4.png │ ├── dat.dumouchel1994.html │ ├── dat.egger2001-1.png │ ├── dat.egger2001.html │ ├── dat.fine1993-1.png │ ├── dat.fine1993-2.png │ ├── dat.fine1993.html │ ├── dat.franchini2012-1.png │ ├── dat.franchini2012.html │ ├── dat.frank2008-1.png │ ├── dat.frank2008.html │ ├── dat.furukawa2003.html │ ├── dat.gibson2002.html │ ├── dat.graves2010.html │ ├── dat.gurusamy2011-1.png │ ├── dat.gurusamy2011-2.png │ ├── dat.gurusamy2011-3.png │ ├── dat.gurusamy2011-4.png │ ├── dat.gurusamy2011.html │ ├── dat.hackshaw1998.html │ ├── dat.hahn2001-1.png │ ├── dat.hahn2001.html │ ├── dat.hannum2020.html │ ├── dat.hart1999-1.png │ ├── dat.hart1999.html │ ├── dat.hartmannboyce2018.html │ ├── dat.hasselblad1998-1.png │ ├── dat.hasselblad1998-2.png │ ├── dat.hasselblad1998.html │ ├── dat.hine1989.html │ ├── dat.ishak2007-1.png │ ├── dat.ishak2007.html │ ├── dat.kalaian1996-1.png │ ├── dat.kalaian1996.html │ ├── dat.kearon1998-1.png │ ├── dat.kearon1998-2.png │ ├── dat.kearon1998-3.png │ ├── dat.kearon1998.html │ ├── dat.knapp2017-1.png │ ├── dat.knapp2017.html │ ├── dat.konstantopoulos2011-1.png │ ├── dat.konstantopoulos2011.html │ ├── dat.landenberger2005.html │ ├── dat.laopaiboon2015.html │ ├── dat.lau1992-1.png │ ├── dat.lau1992-2.png │ ├── dat.lau1992.html │ ├── dat.lee2004.html │ ├── dat.lehmann2018.html │ ├── dat.li2007-1.png │ ├── dat.li2007.html │ ├── dat.lim2014.html │ ├── dat.linde2005.html │ ├── dat.linde2015-1.png │ ├── dat.linde2015.html │ ├── dat.linde2016-1.png │ ├── dat.linde2016-2.png │ ├── dat.linde2016-3.png │ ├── dat.linde2016.html │ ├── dat.lopez2019-1.png │ ├── dat.lopez2019-2.png │ ├── dat.lopez2019.html │ ├── dat.maire2019-1.png │ ├── dat.maire2019-2.png │ ├── dat.maire2019.html │ ├── dat.mccurdy2020.html │ ├── dat.mcdaniel1994.html │ ├── dat.michael2013.html │ ├── dat.molloy2014-1.png │ ├── dat.molloy2014-2.png │ ├── dat.molloy2014.html │ ├── dat.moura2021.html │ ├── dat.nakagawa2007.html │ ├── dat.nielweise2007.html │ ├── dat.nielweise2008.html │ ├── dat.normand1999-1.png │ ├── dat.normand1999.html │ ├── dat.obrien2003-1.png │ ├── dat.obrien2003-2.png │ ├── dat.obrien2003-3.png │ ├── dat.obrien2003.html │ ├── dat.pagliaro1992.html │ ├── dat.pignon2000.html │ ├── dat.pritz1997.html │ ├── dat.raudenbush1985.html │ ├── dat.riley2003.html │ ├── dat.roever2022-1.png │ ├── dat.roever2022.html │ ├── dat.senn2013-1.png │ ├── dat.senn2013-2.png │ ├── dat.senn2013-3.png │ ├── dat.senn2013-4.png │ ├── dat.senn2013-5.png │ ├── dat.senn2013-6.png │ ├── dat.senn2013.html │ ├── dat.spooner2002.html │ ├── dat.stowe2010-1.png │ ├── dat.stowe2010-2.png │ ├── dat.stowe2010-3.png │ ├── dat.stowe2010-4.png │ ├── dat.stowe2010.html │ ├── dat.tannersmith2016.html │ ├── dat.ursino2021-1.png │ ├── dat.ursino2021.html │ ├── dat.vanhowe1999.html │ ├── dat.viechtbauer2021-1.png │ ├── dat.viechtbauer2021-10.png │ ├── dat.viechtbauer2021-11.png │ ├── dat.viechtbauer2021-12.png │ ├── dat.viechtbauer2021-13.png │ ├── dat.viechtbauer2021-14.png │ ├── dat.viechtbauer2021-15.png │ ├── dat.viechtbauer2021-16.png │ ├── dat.viechtbauer2021-2.png │ ├── dat.viechtbauer2021-3.png │ ├── dat.viechtbauer2021-4.png │ ├── dat.viechtbauer2021-5.png │ ├── dat.viechtbauer2021-6.png │ ├── dat.viechtbauer2021-7.png │ ├── dat.viechtbauer2021-8.png │ ├── dat.viechtbauer2021-9.png │ ├── dat.viechtbauer2021.html │ ├── dat.white2020.html │ ├── dat.woods2010-1.png │ ├── dat.woods2010.html │ ├── dat.yusuf1985.html │ ├── datsearch.html │ ├── index.html │ ├── metadat-package.html │ ├── metadat.html │ └── prep_dat.html └── sitemap.xml ├── inst └── help.rdata ├── man ├── dat.aloe2013.Rd ├── dat.anand1999.Rd ├── dat.assink2016.Rd ├── dat.axfors2021.Rd ├── dat.bakdash2021.Rd ├── dat.baker2009.Rd ├── dat.bangertdrowns2004.Rd ├── dat.bartos2023.Rd ├── dat.baskerville2012.Rd ├── dat.bassler2004.Rd ├── dat.bcg.Rd ├── dat.begg1989.Rd ├── dat.berkey1998.Rd ├── dat.besson2016.Rd ├── dat.bonett2010.Rd ├── dat.bornmann2007.Rd ├── dat.bourassa1996.Rd ├── dat.cannon2006.Rd ├── dat.cohen1981.Rd ├── dat.colditz1994.Rd ├── dat.collins1985a.Rd ├── dat.collins1985b.Rd ├── dat.craft2003.Rd ├── dat.crede2010.Rd ├── dat.crisafulli2020.Rd ├── dat.curtin2002.Rd ├── dat.curtis1998.Rd ├── dat.dagostino1998.Rd ├── dat.damico2009.Rd ├── dat.debruin2009.Rd ├── dat.dogliotti2014.Rd ├── dat.dong2013.Rd ├── dat.dorn2007.Rd ├── dat.dumouchel1994.Rd ├── dat.egger2001.Rd ├── dat.fine1993.Rd ├── dat.franchini2012.Rd ├── dat.frank2008.Rd ├── dat.furukawa2003.Rd ├── dat.gibson2002.Rd ├── dat.graves2010.Rd ├── dat.gurusamy2011.Rd ├── dat.hackshaw1998.Rd ├── dat.hahn2001.Rd ├── dat.hannum2020.Rd ├── dat.hart1999.Rd ├── dat.hartmannboyce2018.Rd ├── dat.hasselblad1998.Rd ├── dat.hine1989.Rd ├── dat.ishak2007.Rd ├── dat.kalaian1996.Rd ├── dat.kearon1998.Rd ├── dat.knapp2017.Rd ├── dat.konstantopoulos2011.Rd ├── dat.landenberger2005.Rd ├── dat.laopaiboon2015.Rd ├── dat.lau1992.Rd ├── dat.lee2004.Rd ├── dat.lehmann2018.Rd ├── dat.li2007.Rd ├── dat.lim2014.Rd ├── dat.linde2005.Rd ├── dat.linde2015.Rd ├── dat.linde2016.Rd ├── dat.lopez2019.Rd ├── dat.maire2019.Rd ├── dat.mccurdy2020.Rd ├── dat.mcdaniel1994.Rd ├── dat.michael2013.Rd ├── dat.molloy2014.Rd ├── dat.moura2021.Rd ├── dat.nakagawa2007.Rd ├── dat.nielweise2007.Rd ├── dat.nielweise2008.Rd ├── dat.normand1999.Rd ├── dat.obrien2003.Rd ├── dat.pagliaro1992.Rd ├── dat.pignon2000.Rd ├── dat.pritz1997.Rd ├── dat.raudenbush1985.Rd ├── dat.riley2003.Rd ├── dat.roever2022.Rd ├── dat.senn2013.Rd ├── dat.spooner2002.Rd ├── dat.stowe2010.Rd ├── dat.tannersmith2016.Rd ├── dat.ursino2021.Rd ├── dat.vanhowe1999.Rd ├── dat.viechtbauer2021.Rd ├── dat.white2020.Rd ├── dat.woods2010.Rd ├── dat.yusuf1985.Rd ├── datsearch.Rd ├── metadat-package.Rd └── prep_dat.Rd ├── shiny ├── old │ ├── shiny_app_kyle.r │ └── shiny_app_matt.r └── shiny.r ├── tests ├── testthat.R └── testthat │ ├── test_dat.aloe2013.r │ ├── test_dat.anand1999.r │ ├── test_dat.assink2016.r │ ├── test_dat.axfors2021.r │ ├── test_dat.bakdash2021.r │ ├── test_dat.baker2009.r │ ├── test_dat.bangertdrowns2004.r │ ├── test_dat.bartos2023.r │ ├── test_dat.baskerville2012.r │ ├── test_dat.bassler2004.r │ ├── test_dat.bcg.r │ ├── test_dat.begg1989.r │ ├── test_dat.berkey1998.r │ ├── test_dat.besson2016.r │ ├── test_dat.bonett2010.r │ ├── test_dat.bornmann2007.r │ ├── test_dat.bourassa1996.r │ ├── test_dat.cannon2006.r │ ├── test_dat.cohen1981.r │ ├── test_dat.colditz1994.r │ ├── test_dat.collins1985a.r │ ├── test_dat.collins1985b.r │ ├── test_dat.craft2003.r │ ├── test_dat.crede2010.r │ ├── test_dat.crisafulli2020.r │ ├── test_dat.curtin2002.r │ ├── test_dat.curtis1998.r │ ├── test_dat.dagostino1998.r │ ├── test_dat.damico2009.r │ ├── test_dat.debruin2009.r │ ├── test_dat.dogliotti2014.r │ ├── test_dat.dong2013.r │ ├── test_dat.dorn2007.r │ ├── test_dat.dumouchel1994.r │ ├── test_dat.egger2001.r │ ├── test_dat.fine1993.r │ ├── test_dat.franchini2012.r │ ├── test_dat.frank2008.r │ ├── test_dat.furukawa2003.r │ ├── test_dat.gibson2002.r │ ├── test_dat.graves2010.r │ ├── test_dat.gurusamy2011.r │ ├── test_dat.hackshaw1998.r │ ├── test_dat.hahn2001.r │ ├── test_dat.hannum2020.r │ ├── test_dat.hart1999.r │ ├── test_dat.hartmannboyce2018.r │ ├── test_dat.hasselblad1998.r │ ├── test_dat.hine1989.r │ ├── test_dat.ishak2007.r │ ├── test_dat.kalaian1996.r │ ├── test_dat.kearon1998.r │ ├── test_dat.knapp2017.r │ ├── test_dat.konstantopoulos2011.r │ ├── test_dat.landenberger2005.r │ ├── test_dat.laopaiboon2015.r │ ├── test_dat.lau1992.r │ ├── test_dat.lee2004.r │ ├── test_dat.lehmann2018.r │ ├── test_dat.li2007.r │ ├── test_dat.lim2014.r │ ├── test_dat.linde2005.r │ ├── test_dat.linde2015.r │ ├── test_dat.linde2016.r │ ├── test_dat.lopez2019.r │ ├── test_dat.maire2019.r │ ├── test_dat.mccurdy2020.r │ ├── test_dat.mcdaniel1994.r │ ├── test_dat.michael2013.r │ ├── test_dat.molloy2014.r │ ├── test_dat.moura2021.r │ ├── test_dat.nakagawa2007.r │ ├── test_dat.nielweise2007.r │ ├── test_dat.nielweise2008.r │ ├── test_dat.normand1999.r │ ├── test_dat.obrien2003.r │ ├── test_dat.pagliaro1992.r │ ├── test_dat.pignon2000.r │ ├── test_dat.pritz1997.r │ ├── test_dat.raudenbush1985.r │ ├── test_dat.riley2003.r │ ├── test_dat.roever2022.r │ ├── test_dat.senn2013.r │ ├── test_dat.spooner2002.r │ ├── test_dat.stowe2010.r │ ├── test_dat.tannersmith2016.r │ ├── test_dat.ursino2021.r │ ├── test_dat.vanhowe1999.r │ ├── test_dat.viechtbauer2021.r │ ├── test_dat.white2020.r │ ├── test_dat.woods2010.r │ └── test_dat.yusuf1985.r └── to_be_added ├── data-raw ├── dat.barone2019.csv ├── dat.barone2019.r ├── dat.cleasby2012.1.csv ├── dat.cleasby2012.2.csv ├── dat.cleasby2012.r ├── dat.english2016.1.csv ├── dat.english2016.2.csv ├── dat.english2016.r ├── dat.griffith2006.csv ├── dat.griffith2006.r ├── dat.ho2012.r ├── dat.ho2012.txt ├── dat.lim2014.r ├── dat.nakagawa2015.1.csv ├── dat.nakagawa2015.2.csv ├── dat.nakagawa2015.3.csv ├── dat.nakagawa2015.phy1.tre ├── dat.nakagawa2015.phy2.tre ├── dat.nakagawa2015.r ├── dat.reed2001.csv ├── dat.reed2001.r ├── dat.sala2019.csv ├── dat.sala2019.r ├── dat.sorokowski2019.1.csv ├── dat.sorokowski2019.2.csv ├── dat.sorokowski2019.r ├── dat.tamim2011.csv ├── dat.tamim2011.r ├── dat.valstad2017.csv ├── dat.valstad2017.r ├── dat.weaver2018.csv ├── dat.weaver2018.r ├── dat.xia2008.csv └── dat.xia2008.r └── man ├── dat.barone2019.Rd ├── dat.cleasby2012.Rd ├── dat.english2016.Rd ├── dat.griffith2006.Rd ├── dat.ho2012.Rd ├── dat.nakagawa2015.Rd ├── dat.reed2001.Rd ├── dat.sala2019.Rd ├── dat.sorokowski2019.Rd ├── dat.tamim2011.Rd ├── dat.valstad2017.Rd ├── dat.weaver2018.Rd └── dat.xia2008.Rd /.Rbuildignore: -------------------------------------------------------------------------------- 1 | ^\.git$ 2 | ^\.github$ 3 | ^\.gitignore$ 4 | ^_pkgdown\.yml$ 5 | ^docs$ 6 | ^to_be_added$ 7 | ^vignettes/pkgdown$ 8 | ^data-raw$ 9 | ^.*\.Rproj$ 10 | ^\.Rproj\.user$ 11 | ^CONCEPTS$ 12 | ^shiny$ 13 | -------------------------------------------------------------------------------- /.github/.gitignore: -------------------------------------------------------------------------------- 1 | *.html 2 | -------------------------------------------------------------------------------- /.github/workflows/R-CMD-check.yaml: -------------------------------------------------------------------------------- 1 | on: 2 | push: 3 | branches: 4 | - master 5 | pull_request: 6 | branches: 7 | - master 8 | 9 | name: R-CMD-check 10 | 11 | jobs: 12 | R-CMD-check: 13 | if: "!contains(github.event.head_commit.message, '[ci skip]')" 14 | runs-on: ubuntu-24.04 15 | env: 16 | GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} 17 | steps: 18 | - uses: actions/checkout@v4 19 | - uses: r-lib/actions/setup-r@v2 20 | with: 21 | r-version: 'release' 22 | - uses: r-lib/actions/setup-r-dependencies@v2 23 | with: 24 | extra-packages: any::rcmdcheck 25 | needs: check 26 | - uses: r-lib/actions/check-r-package@v2 27 | with: 28 | args: 'c("--no-manual", "--as-cran", "--run-dontrun")' 29 | error-on: '"warning"' 30 | check-dir: '"check"' 31 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .Rhistory 2 | .DS_Store 3 | .Rapp.history 4 | .Rproj.user 5 | *.Rproj 6 | .RData 7 | roxygen2.R 8 | -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: metadat 2 | Version: 1.5-1 3 | Date: 2025-03-14 4 | Title: Meta-Analysis Datasets 5 | Authors@R: c( 6 | person(given = "Wolfgang", family = "Viechtbauer", 7 | role = c("aut","cre"), email = "wvb@metafor-project.org", 8 | comment = c(ORCID = "0000-0003-3463-4063")), 9 | person(given = "Thomas", family="White", 10 | role="aut", email = "thomas.white@sydney.edu.au", 11 | comment = c(ORCID = "0000-0002-3976-1734")), 12 | person(given = "Daniel", family="Noble", 13 | role="aut", email = "daniel.noble@anu.edu.au", 14 | comment = c(ORCID = "0000-0001-9460-8743")), 15 | person(given = "Alistair", family="Senior", 16 | role="aut", email = "alistair.senior@sydney.edu.au", 17 | comment = c(ORCID = "0000-0001-9805-7280")), 18 | person(given = "W. Kyle", family="Hamilton", 19 | role="aut", email = "whamilton@ucmerced.edu", 20 | comment = c(ORCID = "0000-0002-8642-7990")), 21 | person(given = "Guido", family = "Schwarzer", 22 | role = "dtc", email = "guido.schwarzer@uniklinik-freiburg.de", 23 | comment = c(ORCID = "0000-0001-6214-9087"))) 24 | Depends: R (>= 4.0.0) 25 | Imports: utils, tools, mathjaxr 26 | Suggests: metafor, numDeriv, BiasedUrn, dfoptim, igraph, ape, testthat, digest, lme4, clubSandwich, meta, netmeta, mvtnorm, gridExtra, rms, bayesmeta, ellipse 27 | Description: A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses. 28 | License: GPL (>=2) 29 | ByteCompile: TRUE 30 | LazyData: TRUE 31 | Encoding: UTF-8 32 | RdMacros: mathjaxr 33 | BuildManual: TRUE 34 | URL: https://github.com/wviechtb/metadat, https://wviechtb.github.io/metadat/ 35 | BugReports: https://github.com/wviechtb/metadat/issues 36 | -------------------------------------------------------------------------------- /NAMESPACE: -------------------------------------------------------------------------------- 1 | exportPattern("^[^\\.]") 2 | 3 | import(utils) 4 | import(tools) 5 | import(mathjaxr) 6 | -------------------------------------------------------------------------------- /NEWS.md: -------------------------------------------------------------------------------- 1 | # metadat 1.5-1 (2025-03-14) 2 | 3 | - bump to new development version 4 | 5 | # metadat 1.4-0 (2025-02-04) 6 | 7 | - added `dat.bartos2023`, `dat.bassler2004`, `dat.crisafulli2020`, `dat.curtin2002`, `dat.dumouchel1994`, `dat.furukawa2003`, `dat.roever2022`, `dat.spooner2002`, and `dat.ursino2021` 8 | - fixed the mislabeling of sensitivity and specificity in the example code for `dat.kearon1998` 9 | - minor correction to one of the sampling variances in `dat.kalaian1996` and the coding of the `ets` variable 10 | 11 | # metadat 1.2-0 (2022-04-05) 12 | 13 | - added some more info to `dat.knapp2017` 14 | - added `dat.bakdash2021`, `dat.baker2009`, `dat.dogliotti2014`, `dat.dong2013`, `dat.franchini2012`, `dat.frank2008`, `dat.gurusamy2011`, `dat.hartmannboyce2018`, `dat.lehmann2018`, `dat.linde2015`, `dat.linde2016`, `dat.mccurdy2020`, `dat.michael2013`, `dat.stowe2010`, `dat.tannersmith2016`, `dat.woods2010` 15 | - changed concept term 'mean differences' to 'raw mean differences' (to better distinguish it from the concept 'standardized mean differences') 16 | - help files now include a 'Concepts' section listing the concept terms 17 | - improved `datsearch()` function (added an interactive mode, single match opens directly, enter exits, can include commas to split up multiple patterns, continue prompting until exit) 18 | 19 | # metadat 1.0-0 (2021-08-20) 20 | 21 | - first CRAN release 22 | 23 | # metadat 0.2-0 (2021-08-07) 24 | 25 | - overhaul and preparations for first release 26 | 27 | # metadat 0.1-0 (2019-04-08) 28 | 29 | - initial setup 30 | -------------------------------------------------------------------------------- /data-raw/dat.aloe2013.r: -------------------------------------------------------------------------------- 1 | # Aloe, A. M., & Thompson, C. G. (2013). The synthesis of partial effect 2 | # sizes. Journal of the Society for Social Work and Research, 4(4), 390-405. 3 | # https://doi.org/10.5243/jsswr.2013.24 4 | 5 | dat.aloe2013 <- read.table("data-raw/dat.aloe2013.txt", header=TRUE, stringsAsFactors=FALSE) 6 | dat.aloe2013 <- dat.aloe2013[c(1,4,3,5,2)] 7 | save(dat.aloe2013, file="data/dat.aloe2013.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.aloe2013.txt: -------------------------------------------------------------------------------- 1 | study R2 tval n preds 2 | "Abu-Bader (2000)" .240 4.61 218 4 3 | "Cole et al. (2004)" .455 6.19 232 7 4 | "Wallach & Mueller (2006)" .500 4.07 156 6 5 | "Weaver et al. (2007)" .327 -0.77 382 19 6 | "Acker (2004)" .117 1.16 259 15 7 | -------------------------------------------------------------------------------- /data-raw/dat.anand1999.r: -------------------------------------------------------------------------------- 1 | # Anand, S. S., & Yusuf, S. (1999). Oral anticoagulant therapy in patients 2 | # with coronary artery disease: A meta-analysis. Journal of the American 3 | # Medical Association, 282(21), 2058-2067. 4 | 5 | dat.anand1999 <- read.table("data-raw/dat.anand1999.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.anand1999, file="data/dat.anand1999.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.anand1999.txt: -------------------------------------------------------------------------------- 1 | study year intensity asp.t asp.c ai n1i ci n2i 2 | "MacMillan et al" 1960 high 0 0 8 27 0 23 3 | "Borchegrevink" 1960 high 0 0 1 103 8 100 4 | "Clausen et al" 1961 high 0 0 15 93 13 99 5 | "Harvald et al" 1961 high 0 0 34 145 45 171 6 | "Apenstrom and Korsan-Bengtsen" 1964 high 0 0 39 118 50 113 7 | "Conrad et al" 1964 high 0 0 9 52 8 34 8 | "Wasserman et al" 1966 high 0 0 12 77 15 70 9 | "Loeliger et al" 1967 high 0 0 8 128 11 112 10 | "Lovell et al" 1967 high 0 0 33 178 39 172 11 | "Seaman et al" 1969 high 0 0 36 88 31 87 12 | "Sorensen et al" 1969 high 0 0 30 156 43 120 13 | "Sixty Plus Reinfarction" 1980 high 0 0 51 439 69 439 14 | "WARIS" 1990 high 0 0 94 607 123 607 15 | "ASPECT" 1994 high 0 0 170 1700 189 1704 16 | "Meuwissen et al" 1969 high 0 0 1 68 8 70 17 | "Drapkin and Merskey" 1974 high 0 0 111 745 166 782 18 | "Breddin et al" 1980 high 0 0 39 320 32 309 19 | "Breddin et al" 1980 high 0 1 39 320 27 317 20 | "CABADAS" 1993 high 0 1 3 307 8 309 21 | "Eritsland et al" 1996 high 0 1 5 319 9 291 22 | "ATACS" 1990 high 0 1 1 24 0 32 23 | "McEnany et al" 1982 moderate 0 1 1 68 1 71 24 | "Kraska et al" 1981 moderate 0 1 5 60 7 60 25 | "EPSIM" 1982 moderate 0 1 67 652 72 651 26 | "COOP" 1969 moderate 0 0 120 385 114 350 27 | "MRC Anticoagulant" 1964 moderate 0 0 29 195 40 188 28 | "Williams et al" 1986 moderate 0 0 1 51 4 51 29 | "McEnany et al" 1982 moderate 0 0 1 68 3 77 30 | "ATACS" 1990 high 1 1 0 37 0 32 31 | "OASIS Pilot 2" 1998 moderate 1 1 2 98 5 99 32 | "ATACS-Main" 1994 moderate 1 1 2 105 2 109 33 | "OASIS Pilot" 1998 low 1 1 2 155 3 154 34 | "Post-CABG" 1997 low 1 1 28 674 39 677 35 | "CARS" 1997 low 1 1 118 3382 102 3393 36 | -------------------------------------------------------------------------------- /data-raw/dat.assink2016.r: -------------------------------------------------------------------------------- 1 | # Assink, M., & Wibbelink, C. J. M. (2016). Fitting three-level meta-analytic 2 | # models in R: A step-by-step tutorial. The Quantitative Methods for 3 | # Psychology, 12(3), 154-174. 4 | 5 | dat.assink2016 <- read.table("data-raw/dat.assink2016.txt", header=TRUE, stringsAsFactors=FALSE) 6 | 7 | attr(dat.assink2016, "yi.names") <- "yi" 8 | attr(dat.assink2016, "vi.names") <- "vi" 9 | attr(dat.assink2016$yi, "measure") <- "SMD" 10 | attr(dat.assink2016$yi, "ni") <- round((8 + c(dat.assink2016$yi)^2) / (2*dat.assink2016$vi)) 11 | class(dat.assink2016) <- c("escalc", "data.frame") 12 | save(dat.assink2016, file="data/dat.assink2016.rda") 13 | -------------------------------------------------------------------------------- /data-raw/dat.axfors2021.r: -------------------------------------------------------------------------------- 1 | # Axfors, C., Schmitt, A. M., Janiaud, P. et al. (2021). Mortality outcomes with hydroxychloroquine 2 | # and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized 3 | # trials. Nature Communications, 12, 2349. https://doi.org/10.1038/s41467-021-22446-z 4 | 5 | dat.axfors2021 <- read.csv("data-raw/dat.axfors2021.csv", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.axfors2021, file="data/dat.axfors2021.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.bakdash2021.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/data-raw/dat.bakdash2021.csv -------------------------------------------------------------------------------- /data-raw/dat.bakdash2021.r: -------------------------------------------------------------------------------- 1 | # Journal article describing systematic review and meta-analysis: 2 | # Bakdash, J. Z., Marusich, L. R., Cox, K. R., Geuss, M. N., Zaroukian, 3 | # E. G., & Morris, K. M. (2021a). The validity of situation awareness for 4 | # performance: A meta-analysis. Theoretical Issues in Ergonomics Science, 1–24. 5 | # https://doi.org/10.1080/1463922X.2021.1921310 6 | 7 | # Dataset and R Code References: 8 | # Bakdash, J. Z., Marusich, L. R., Cox, K. R., Geuss, M. N., Zaroukian, E. G., & 9 | # Morris, K. M. (2021b). The validity of situation awareness for performance: A 10 | # meta-analysis (Code Ocean Capsule). https://doi.org/10.24433/CO.1682542.v4 11 | 12 | # Bakdash, J. Z., Marusich, L. R., Cox, K. R., Geuss, M. N., Zaroukian, E. G., 13 | # & Morris, K. M. (2021c). The validity of situation awareness for performance: A 14 | # meta-analysis (Systematic Review, Data, and Code). 15 | # https://doi.org/10.17605/OSF.IO/4K7ZV 16 | 17 | dat.bakdash2021 <- read.csv("data-raw/dat.bakdash2021.csv", header = TRUE) 18 | 19 | # remove superfluous whitespace 20 | dat.bakdash2021$Author <- trimws(dat.bakdash2021$Author) 21 | dat.bakdash2021$Title <- trimws(dat.bakdash2021$Title) 22 | dat.bakdash2021$DTIC.link <- trimws(dat.bakdash2021$DTIC.link) 23 | 24 | # remove Comments variable 25 | dat.bakdash2021$Comments <- NULL 26 | 27 | # fix some non-ASCII strings 28 | dat.bakdash2021$Title[187:189] <- "Operators' signal-detection performance in video display unit monitoring tasks of the main control room" 29 | dat.bakdash2021$Title[317:318] <- "The role of driver's situational awareness on right-hook bicycle-motor vehicle crashes" 30 | 31 | save(dat.bakdash2021, file = "data/dat.bakdash2021.rda", ascii = FALSE) 32 | -------------------------------------------------------------------------------- /data-raw/dat.baker2009.r: -------------------------------------------------------------------------------- 1 | # Baker WL, Baker EL, Coleman CI (2009). 2 | # Pharmacologic Treatments for Chronic Obstructive Pulmonary Disease: 3 | # A Mixed-Treatment Comparison Meta-analysis. 4 | # Pharmacotherapy: The Journal of Human Pharmacology and Drug 5 | # Therapy, 29, 891-905. 6 | 7 | dat.baker2009 <- read.csv("data-raw/dat.baker2009.txt") 8 | save(dat.baker2009, file="data/dat.baker2009.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.bangertdrowns2004.r: -------------------------------------------------------------------------------- 1 | # Bangert-Drowns, R. L., Hurley, M. M., & Wilkinson, B. (2004). The effects of 2 | # school-based writing-to-learn interventions on academic achievement: A 3 | # meta-analysis. Review of Educational Research, 74(1), 29-58. 4 | 5 | dat.bangertdrowns2004 <- read.table("data-raw/dat.bangertdrowns2004.txt", header=TRUE, stringsAsFactors=FALSE) 6 | names(dat.bangertdrowns2004)[5] <- "Ni" 7 | dat.bangertdrowns2004$ni <- dat.bangertdrowns2004$Ni 8 | dat.bangertdrowns2004$Ni <- NULL 9 | dat.bangertdrowns2004$yi <- round((1 - 3/(4*dat.bangertdrowns2004$ni - 9)) * dat.bangertdrowns2004$di, 2) 10 | dat.bangertdrowns2004$vi <- round((8 + dat.bangertdrowns2004$yi^2) / (2*dat.bangertdrowns2004$ni), 3) # assumes that n1 = n2 11 | dat.bangertdrowns2004$di <- NULL 12 | attr(dat.bangertdrowns2004, "digits") <- 3 13 | attr(dat.bangertdrowns2004, "yi.names") <- "yi" 14 | attr(dat.bangertdrowns2004, "vi.names") <- "vi" 15 | attr(dat.bangertdrowns2004$yi, "measure") <- "SMD" 16 | attr(dat.bangertdrowns2004$yi, "ni") <- dat.bangertdrowns2004$ni 17 | class(dat.bangertdrowns2004) <- c("escalc", "data.frame") 18 | save(dat.bangertdrowns2004, file="data/dat.bangertdrowns2004.rda", ascii=FALSE) 19 | -------------------------------------------------------------------------------- /data-raw/dat.bartos2023.r: -------------------------------------------------------------------------------- 1 | # Bartoš, F., Sarafoglou, A., Godmann, H. R., Sahrani, A., Leunk, D. K., Gui, 2 | # P. Y., Voss, D., Ullah, K., Zoubek, M. J., Nippold, F., Aust, F., Vieira, F. 3 | # F., Islam, C.-G., Zoubek, A. J., Shabani, S., Petter, J., Roos, I. B., 4 | # Finnemann, A., Lob, A. B., Hoffstadt, M. F., Nak, J., de Ron, J., Derks, K., 5 | # Huth, K., Terpstra, S., Bastelica, T., Matetovici, M., Ott, V. L., Zetea, A. 6 | # S., Karnbach, K., Donzallaz, M. C., John, A., Moore, R. M., Assion, F., van 7 | # Bork, R., Leidinger, T. E., Zhao, X., Motaghi, A. K., Pan, T., Armstrong, 8 | # H., Peng, T., Bialas, M., Pang, J. Y.-C., Fu, B., Yang, S., Lin, X., 9 | # Sleiffer, D., Bognar, M., Aczel, B., & Wagenmakers, E.-J. (2023). Fair coins 10 | # tend to land on the same side they started: Evidence from 350,757 flips. 11 | # arXiv, 2310.04153, v2. 12 | 13 | dat.bartos2023 <- read.table("data-raw/dat.bartos2023.txt", header=TRUE, stringsAsFactors=FALSE) 14 | save(dat.bartos2023, file="data/dat.bartos2023.rda") 15 | -------------------------------------------------------------------------------- /data-raw/dat.baskerville2012.r: -------------------------------------------------------------------------------- 1 | # Baskerville, N. B., Liddy, C., & Hogg, W. (2012). Systematic review and 2 | # meta-analysis of practice facilitation within primary care settings. Annals 3 | # of Family Medicine, 10(1), 63-74. 4 | 5 | dat.baskerville2012 <- read.table("data-raw/dat.baskerville2012.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.baskerville2012, file="data/dat.baskerville2012.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.bassler2004.r: -------------------------------------------------------------------------------- 1 | # Bassler D, Mitra A, Ducharme FM, J Forster J, Schwarzer G (2004). Ketotifen 2 | # alone or as additional medication for long-term control of asthma and wheeze 3 | # in children. Cochrane Database of Systematic Reviews, CD001384. 4 | 5 | dat.bassler2004 <- read.csv("data-raw/dat.bassler2004.txt") 6 | save(dat.bassler2004, file = "data/dat.bassler2004.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.bassler2004.txt: -------------------------------------------------------------------------------- 1 | "study","Ee","Ne","Ec","Nc","blind" 2 | "1","Chay 1992",1,10,6,10,"Adequate blinding" 3 | "2","Rackham 1989",31,68,38,65,"Adequate blinding" 4 | "3","Van Asperen 1992",16,52,19,51,"Adequate blinding" 5 | "4","Croce 1995",19,39,17,36,"Method unclear" 6 | "5","de Benedictis 1990",7,34,35,41,"Method unclear" 7 | "6","Longo 1986",10,18,15,18,"Method unclear" 8 | "7","Montoya 1988",6,20,14,20,"Method unclear" 9 | "8","Mulhern 1982",6,16,8,15,"Method unclear" 10 | "9","Salmon",8,28,16,34,"Method unclear" 11 | "10","Spicak 1983",9,25,20,25,"Method unclear" 12 | -------------------------------------------------------------------------------- /data-raw/dat.bcg.r: -------------------------------------------------------------------------------- 1 | # Colditz, G. A., Brewer, T. F., Berkey, C. S., Wilson, M. E., Burdick, E., 2 | # Fineberg, H. V., et al. (1994). Efficacy of BCG vaccine in the prevention of 3 | # tuberculosis: Meta-analysis of the published literature. Journal of the 4 | # American Medical Association, 271(9), 698-702. 5 | 6 | # some additional info from: van Houwelingen, H. C., Arends, L. R., & Stijnen, 7 | # T. (2002). Advanced methods in meta-analysis: Multivariate approach and 8 | # meta-regression. Statistics in Medicine, 21(4), 589-624. 9 | 10 | dat.bcg <- read.table("data-raw/dat.bcg.txt", header=TRUE, stringsAsFactors=FALSE) 11 | save(dat.bcg, file="data/dat.bcg.rda") 12 | 13 | # same as dat.colditz1994 - included twice for backwards compatibility reasons 14 | -------------------------------------------------------------------------------- /data-raw/dat.bcg.txt: -------------------------------------------------------------------------------- 1 | trial author year tpos tneg cpos cneg ablat alloc 2 | 1 "Aronson" 1948 4 119 11 128 44 random 3 | 2 "Ferguson & Simes" 1949 6 300 29 274 55 random 4 | 3 "Rosenthal et al" 1960 3 228 11 209 42 random 5 | 4 "Hart & Sutherland" 1977 62 13536 248 12619 52 random 6 | 5 "Frimodt-Moller et al" 1973 33 5036 47 5761 13 alternate 7 | 6 "Stein & Aronson" 1953 180 1361 372 1079 44 alternate 8 | 7 "Vandiviere et al" 1973 8 2537 10 619 19 random 9 | 8 "TPT Madras" 1980 505 87886 499 87892 13 random 10 | 9 "Coetzee & Berjak" 1968 29 7470 45 7232 27 random 11 | 10 "Rosenthal et al" 1961 17 1699 65 1600 42 systematic 12 | 11 "Comstock et al" 1974 186 50448 141 27197 18 systematic 13 | 12 "Comstock & Webster" 1969 5 2493 3 2338 33 systematic 14 | 13 "Comstock et al" 1976 27 16886 29 17825 33 systematic 15 | -------------------------------------------------------------------------------- /data-raw/dat.begg1989.r: -------------------------------------------------------------------------------- 1 | # Begg, C. B., Pilote, L., & McGlave, P. B. (1989). Bone marrow 2 | # transplantation versus chemotherapy in acute non-lymphocytic leukemia: A 3 | # meta-analytic review. European Journal of Cancer and Clinical Oncology, 4 | # 25(11), 1519-1523. 5 | 6 | # Begg, C. B., & Pilote, L. (1991). A model for incorporating historical 7 | # controls into a meta-analysis. Biometrics, 47(3), 899-906. 8 | 9 | dat.begg1989 <- read.table("data-raw/dat.begg1989.txt", header=TRUE, stringsAsFactors=FALSE) 10 | attr(dat.begg1989, "digits") <- 4 11 | attr(dat.begg1989, "yi.names") <- "yi" 12 | attr(dat.begg1989, "vi.names") <- "vi" 13 | attr(dat.begg1989$yi, "measure") <- "PR" 14 | class(dat.begg1989) <- c("escalc", "data.frame") 15 | save(dat.begg1989, file="data/dat.begg1989.rda") 16 | -------------------------------------------------------------------------------- /data-raw/dat.begg1989.txt: -------------------------------------------------------------------------------- 1 | "study" "trt" "arms" "yi" "sei" "vi" 2 | 1 "BMT" 2 0.46 0.118 0.013924 3 | 1 "CMO" 2 0.25 0.074 0.005476 4 | 2 "BMT" 2 0.5 0.1 0.01 5 | 2 "CMO" 2 0.23 0.067 0.004489 6 | 3 "BMT" 2 0.47 0.129 0.016641 7 | 3 "CMO" 2 0.42 0.086 0.007396 8 | 4 "BMT" 2 0.7 0.23 0.0529 9 | 4 "CMO" 2 0.48 0.167 0.027889 10 | 5 "BMT" 1 0.46 0.081 0.006561 11 | 6 "BMT" 1 0.43 0.034 0.001156 12 | 7 "BMT" 1 0.49 0.088 0.007744 13 | 8 "BMT" 1 0.53 0.079 0.006241 14 | 9 "CMO" 1 0.21 0.051 0.002601 15 | 10 "CMO" 1 0.32 0.039 0.001521 16 | 11 "CMO" 1 0.48 0.094 0.008836 17 | 12 "CMO" 1 0.26 0.046 0.002116 18 | 13 "CMO" 1 0.33 0.029 0.000841 19 | 14 "CMO" 1 0.38 0.033 0.001089 20 | 15 "CMO" 1 0.24 0.084 0.007056 21 | 16 "CMO" 1 0.53 0.084 0.007056 22 | -------------------------------------------------------------------------------- /data-raw/dat.berkey1998.r: -------------------------------------------------------------------------------- 1 | # Berkey, C. S., Hoaglin, D. C., Antczak-Bouckoms, A., Mosteller, F., & 2 | # Colditz, G. A. (1998). Meta-analysis of multiple outcomes by regression with 3 | # random effects. Statistics in Medicine, 17, 2537-2550. 4 | 5 | dat.berkey1998 <- read.table("data-raw/dat.berkey1998.txt", header=TRUE, stringsAsFactors=FALSE) 6 | attr(dat.berkey1998, "digits") <- 4 7 | attr(dat.berkey1998, "yi.names") <- "yi" 8 | attr(dat.berkey1998, "vi.names") <- "vi" 9 | attr(dat.berkey1998$yi, "measure") <- "MD" 10 | attr(dat.berkey1998$yi, "ni") <- dat.berkey1998$ni 11 | class(dat.berkey1998) <- c("escalc", "data.frame") 12 | save(dat.berkey1998, file="data/dat.berkey1998.rda") 13 | -------------------------------------------------------------------------------- /data-raw/dat.berkey1998.txt: -------------------------------------------------------------------------------- 1 | trial author year ni outcome yi vi v1i v2i 2 | 1 "Pihlstrom et al." 1983 14 PD 0.47 .0075 .0075 .0030 3 | 1 "Pihlstrom et al." 1983 14 AL -0.32 .0077 .0030 .0077 4 | 2 "Lindhe et al." 1982 15 PD 0.20 .0057 .0057 .0009 5 | 2 "Lindhe et al." 1982 15 AL -0.60 .0008 .0009 .0008 6 | 3 "Knowles et al." 1979 78 PD 0.40 .0021 .0021 .0007 7 | 3 "Knowles et al." 1979 78 AL -0.12 .0014 .0007 .0014 8 | 4 "Ramfjord et al." 1987 89 PD 0.26 .0029 .0029 .0009 9 | 4 "Ramfjord et al." 1987 89 AL -0.31 .0015 .0009 .0015 10 | 5 "Becker et al." 1988 16 PD 0.56 .0148 .0148 .0072 11 | 5 "Becker et al." 1988 16 AL -0.39 .0304 .0072 .0304 12 | -------------------------------------------------------------------------------- /data-raw/dat.besson2016.r: -------------------------------------------------------------------------------- 1 | dat.besson2016 <- read.csv("data-raw/dat.besson2016.csv") 2 | 3 | save(dat.besson2016, file="data/dat.besson2016.rda", ascii=FALSE) 4 | -------------------------------------------------------------------------------- /data-raw/dat.bonett2010.r: -------------------------------------------------------------------------------- 1 | # Bonett, D. G. (2010). Varying coefficient meta-analytic methods for alpha 2 | # reliability. Psychological Methods, 15(4), 368-385. 3 | 4 | dat.bonett2010 <- read.table("data-raw/dat.bonett2010.txt", header=TRUE, stringsAsFactors=FALSE) 5 | save(dat.bonett2010, file="data/dat.bonett2010.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.bonett2010.txt: -------------------------------------------------------------------------------- 1 | study source ni ai mi caregivers 2 | 1 "Atienza & Parris Stephens (2000)" 103 .93 20 women 3 | 2 "Hooker et al. (2002)" 64 .91 20 mixed 4 | 3 "Martire et al. (1997)" 118 .94 20 women 5 | 4 "Bass et al. (1996)" 401 .89 20 mixed 6 | 5 "Miller et al. (1995)" 215 .90 20 mixed 7 | 6 "Hooker et al. (1992)" 51 .89 20 mixed 8 | 7 "Hooker et al. (2000)" 175 .86 20 mixed 9 | 8 "Brody et al. (1990)" 311 .91 20 mixed 10 | 9 "Brody et al. (1995)" 492 .90 20 women 11 | -------------------------------------------------------------------------------- /data-raw/dat.bornmann2007.r: -------------------------------------------------------------------------------- 1 | # Bornmann, L., Mutz, R., & Daniel, H. (2007). Gender differences in grant 2 | # peer review: A meta-analysis. Journal of Informetrics, 1(3), 226-238. 3 | 4 | dat.bornmann2007 <- read.table("data-raw/dat.bornmann2007.txt", header=TRUE, stringsAsFactors=FALSE, sep="\t") 5 | save(dat.bornmann2007, file="data/dat.bornmann2007.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.bourassa1996.r: -------------------------------------------------------------------------------- 1 | # Bourassa, D. C., McManus, I. C., & Bryden, M. P. (1996). Handedness and 2 | # eye-dominance: A meta-analysis of their relationship. Laterality, 1(1), 3 | # 5-34. 4 | 5 | dat.bourassa1996 <- read.table("data-raw/dat.bourassa1996.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.bourassa1996, file="data/dat.bourassa1996.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.cannon2006.r: -------------------------------------------------------------------------------- 1 | # Cannon, C. P., Steinberg, B. A., Murphy, S. A., Mega, J. L., & Braunwald, E. 2 | # (2006). Meta-analysis of cardiovascular outcomes trials comparing intensive 3 | # versus moderate statin therapy. Journal of the American College of 4 | # Cardiology, 48(3), 438-445. 5 | 6 | dat.cannon2006 <- read.table("data-raw/dat.cannon2006.txt", header=TRUE, stringsAsFactors=FALSE) 7 | save(dat.cannon2006, file="data/dat.cannon2006.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.cannon2006.txt: -------------------------------------------------------------------------------- 1 | trial pop nt nc ep1t ep1c ep2t ep2c ep3t ep3c ep4t ep4c ep5t ep5c ep6t ep6c 2 | "PROVE IT" "post-ACS" 2099 2063 147 172 496 554 27 36 17 27 50 69 20 17 3 | "A-TO-Z" "post-ACS" 2265 2232 205 235 895 844 86 111 22 21 108 132 28 35 4 | "TNT" "stable CAD" 4995 5006 334 418 1405 1677 126 155 158 127 284 282 117 155 5 | "IDEAL" "stable CAD" 4439 4449 411 463 1176 1370 223 218 143 156 366 374 151 174 6 | -------------------------------------------------------------------------------- /data-raw/dat.cohen1981.r: -------------------------------------------------------------------------------- 1 | # Cohen, P. A. (1981). Student ratings of instruction and student achievement: 2 | # A meta-analysis of multisection validity studies. Review of Educational 3 | # Research, 51(3), 281-309. 4 | 5 | dat.cohen1981 <- read.table("data-raw/dat.cohen1981.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.cohen1981, file="data/dat.cohen1981.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.cohen1981.txt: -------------------------------------------------------------------------------- 1 | study sample control ni ri 2 | "Bolton et al. 1979" "General psychology" "Random assignment" 10 .68 3 | "Bryson 1974" "College algebra" "CIAT pretest" 20 .56 4 | "Centra 1977" "General biology" "Final exam for prior semester of same course" 13 .23 5 | "Centra 1977" "General psychology" "Final exam for prior semester of same course" 22 .64 6 | "Crooks & Smock 1974" "General physics" "Math pretest" 28 .49 7 | "Doyle & Crichton 1978" "Introductory communications" "PSAT verbal score" 12 -.04 8 | "Doyle & Whitely 1974" "Beginning French" "Minnesota Scholastic Aptitude Test" 12 .49 9 | "Elliott 1950" "General chemistry" "College entrance exam scores" 36 .33 10 | "Ellis & Rickard 1977" "General psychology" "Random assignment" 19 .58 11 | "Frey et al. 1975" "Introductory calculus" "SAT math scores" 12 .18 12 | "Greenwood et al. 1976" "Analytic geometry and calculus" "Achievement pretest" 36 -.11 13 | "Hoffman 1978" "Introductory math" "SAT math scores" 75 .27 14 | "McKeachie et al. 1971" "General psychology" "Intelligence test scores" 33 .26 15 | "Morsh et al. 1956" "Aircraft mechanics" "Hydraulics pretest" 121 .40 16 | "Remmers et al. 1949" "General chemistry" "Orientation test scores" 37 .49 17 | "Sullivan & Skanes 1974" "First-year science" "Random assignment" 14 .51 18 | "Sullivan & Skanes 1974" "Introductory psychology" "Random assignment" 40 .40 19 | "Sullivan & Skanes 1974" "First-year math" "Random assignment" 16 .34 20 | "Sullivan & Skanes 1974" "First-year biology" "Random assignment" 14 .42 21 | "Wherry 1952" "Introductory psychology" "Ability scores" 20 .16 22 | -------------------------------------------------------------------------------- /data-raw/dat.colditz1994.r: -------------------------------------------------------------------------------- 1 | # Colditz, G. A., Brewer, T. F., Berkey, C. S., Wilson, M. E., Burdick, E., 2 | # Fineberg, H. V., et al. (1994). Efficacy of BCG vaccine in the prevention of 3 | # tuberculosis: Meta-analysis of the published literature. Journal of the 4 | # American Medical Association, 271(9), 698-702. 5 | 6 | # some additional info from: van Houwelingen, H. C., Arends, L. R., & Stijnen, 7 | # T. (2002). Advanced methods in meta-analysis: Multivariate approach and 8 | # meta-regression. Statistics in Medicine, 21(4), 589-624. 9 | 10 | dat.colditz1994 <- read.table("data-raw/dat.colditz1994.txt", header=TRUE, stringsAsFactors=FALSE) 11 | save(dat.colditz1994, file="data/dat.colditz1994.rda") 12 | -------------------------------------------------------------------------------- /data-raw/dat.colditz1994.txt: -------------------------------------------------------------------------------- 1 | trial author year tpos tneg cpos cneg ablat alloc 2 | 1 "Aronson" 1948 4 119 11 128 44 random 3 | 2 "Ferguson & Simes" 1949 6 300 29 274 55 random 4 | 3 "Rosenthal et al" 1960 3 228 11 209 42 random 5 | 4 "Hart & Sutherland" 1977 62 13536 248 12619 52 random 6 | 5 "Frimodt-Moller et al" 1973 33 5036 47 5761 13 alternate 7 | 6 "Stein & Aronson" 1953 180 1361 372 1079 44 alternate 8 | 7 "Vandiviere et al" 1973 8 2537 10 619 19 random 9 | 8 "TPT Madras" 1980 505 87886 499 87892 13 random 10 | 9 "Coetzee & Berjak" 1968 29 7470 45 7232 27 random 11 | 10 "Rosenthal et al" 1961 17 1699 65 1600 42 systematic 12 | 11 "Comstock et al" 1974 186 50448 141 27197 18 systematic 13 | 12 "Comstock & Webster" 1969 5 2493 3 2338 33 systematic 14 | 13 "Comstock et al" 1976 27 16886 29 17825 33 systematic 15 | -------------------------------------------------------------------------------- /data-raw/dat.collins1985a.r: -------------------------------------------------------------------------------- 1 | # Collins, R., & Langman, M. (1985). Treatment with histamine H2 antagonists 2 | # in acute upper gastrointestinal hemorrhage. New England Journal of Medicine, 3 | # 313(11), 660-666. 4 | 5 | # data from: van Houwelingen, H. C., Zwinderman, K. H., & Stijnen, T. (1993). 6 | # A bivariate approach to meta-analysis. Statistics in Medicine, 12(24), 7 | # 2273-2284. 8 | 9 | dat.collins1985a <- read.table("data-raw/dat.collins1985a.txt", header=TRUE, stringsAsFactors=FALSE) 10 | save(dat.collins1985a, file="data/dat.collins1985a.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.collins1985b.r: -------------------------------------------------------------------------------- 1 | # Collins, R., Yusuf, S., & Peto, R. (1985). Overview of randomised trials of 2 | # diuretics in pregnancy. British Medical Journal, 290(6461), 17-23. 3 | 4 | dat.collins1985b <- read.table("data-raw/dat.collins1985b.txt", header=TRUE, stringsAsFactors=FALSE) 5 | save(dat.collins1985b, file="data/dat.collins1985b.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.collins1985b.txt: -------------------------------------------------------------------------------- 1 | id author year pre.nti pre.nci pre.xti pre.xci oedema fup.nti fup.nci ped.xti ped.xci stb.xti stb.xci ned.xti ned.xci 2 | 1 "Weseley & Douglas" 1962 131 136 14 14 0 131 136 1 4 1 2 0 2 3 | 2 "Flowers et al." 1962 385 134 21 17 0 335 110 6 3 3 2 3 1 4 | 3 "Menzies" 1964 57 48 14 24 1 57 48 3 2 1 1 2 1 5 | 4 "Fallis et al." 1964 38 40 6 18 0 34 40 1 3 0 1 1 2 6 | 5 "Cuadros & Tatum" 1964 1011 760 12 35 1 1011 760 14 13 6 5 8 8 7 | 6 "Landesman et al." 1965 1370 1336 138 175 0 1370 1336 24 19 NA NA NA NA 8 | 7 "Kraus et al." 1966 506 524 15 20 0 506 524 14 16 6 9 8 7 9 | 8 "Tervila & Vartiainen" 1971 108 103 6 2 0 108 103 0 0 0 0 0 0 10 | 9 "Campbell & MacGillivray" 1975 153 102 65 40 0 153 102 0 0 0 0 0 0 11 | -------------------------------------------------------------------------------- /data-raw/dat.craft2003.r: -------------------------------------------------------------------------------- 1 | # Craft, L. L., Magyar, T. M., Becker, B. J., & Feltz, D. L. (2003). The 2 | # relationship between the Competitive State Anxiety Inventory-2 and sport 3 | # performance: A meta-analysis. Journal of Sport and Exercise Psychology, 4 | # 25(1), 44-65. 5 | 6 | # data from Table 16.1 (page 350) in Cooper et al. (2019), Handbook of 7 | # research synthesis and meta-analysis (3rd ed.). 8 | 9 | dat.craft2003 <- read.table("data-raw/dat.craft2003.txt", header=TRUE, stringsAsFactors=FALSE) 10 | save(dat.craft2003, file="data/dat.craft2003.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.craft2003.txt: -------------------------------------------------------------------------------- 1 | study ni sport ri var1 var2 2 | 1 142 I -.55 acog perf 3 | 1 142 I -.48 asom perf 4 | 1 142 I .66 conf perf 5 | 1 142 I .47 acog asom 6 | 1 142 I -.38 acog conf 7 | 1 142 I -.46 asom conf 8 | 3 37 I .53 acog perf 9 | 3 37 I -.12 asom perf 10 | 3 37 I .03 conf perf 11 | 3 37 I .52 acog asom 12 | 3 37 I -.48 acog conf 13 | 3 37 I -.40 asom conf 14 | 6 16 T .44 acog perf 15 | 6 16 T .46 asom perf 16 | 6 16 T NA conf perf 17 | 6 16 T .67 acog asom 18 | 6 16 T NA acog conf 19 | 6 16 T NA asom conf 20 | 10 14 I -.39 acog perf 21 | 10 14 I -.17 asom perf 22 | 10 14 I .19 conf perf 23 | 10 14 I .21 acog asom 24 | 10 14 I -.54 acog conf 25 | 10 14 I -.43 asom conf 26 | 17 45 I .10 acog perf 27 | 17 45 I .31 asom perf 28 | 17 45 I -.17 conf perf 29 | 17 45 I NA acog asom 30 | 17 45 I NA acog conf 31 | 17 45 I NA asom conf 32 | 22 100 I .23 acog perf 33 | 22 100 I .08 asom perf 34 | 22 100 I .51 conf perf 35 | 22 100 I .45 acog asom 36 | 22 100 I -.29 acog conf 37 | 22 100 I -.44 asom conf 38 | 26 51 T -.52 acog perf 39 | 26 51 T -.43 asom perf 40 | 26 51 T .16 conf perf 41 | 26 51 T .57 acog asom 42 | 26 51 T -.18 acog conf 43 | 26 51 T -.26 asom conf 44 | 28 128 T .14 acog perf 45 | 28 128 T .02 asom perf 46 | 28 128 T .13 conf perf 47 | 28 128 T .56 acog asom 48 | 28 128 T -.53 acog conf 49 | 28 128 T -.27 asom conf 50 | 36 70 T -.01 acog perf 51 | 36 70 T -.16 asom perf 52 | 36 70 T .42 conf perf 53 | 36 70 T .62 acog asom 54 | 36 70 T -.46 acog conf 55 | 36 70 T -.54 asom conf 56 | 38 30 I -.27 acog perf 57 | 38 30 I -.13 asom perf 58 | 38 30 I .15 conf perf 59 | 38 30 I .63 acog asom 60 | 38 30 I -.68 acog conf 61 | 38 30 I -.71 asom conf 62 | -------------------------------------------------------------------------------- /data-raw/dat.crede2010.r: -------------------------------------------------------------------------------- 1 | # Credé, M., Roch, S. G., & Kieszczynka, U. M. (2010). Class attendance in 2 | # college: A meta-analytic review of the relationship of class attendance with 3 | # grades and student characteristics. Review of Educational Research, 80(2), 4 | # 272-295. 5 | 6 | dat.crede2010 <- read.table("data-raw/dat.crede2010.txt", header=TRUE, stringsAsFactors=FALSE) 7 | save(dat.crede2010, file="data/dat.crede2010.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.crisafulli2020.csv: -------------------------------------------------------------------------------- 1 | "study","pubyear","country","from","to","cases","total" 2 | "Brooks (1977)",1977,"UK",1953,1968,47,177413 3 | "Danieli (1977)",1977,"IT",1952,1972,66,234396 4 | "Takeshita (1977)",1977,"JP",1956,1970,19,91157 5 | "Drummond (1979)",1979,"NZ",,,2,10000 6 | "Cowan (1980)",1980,"AU",1960,1971,99,532302 7 | "Danieli (1980)",1980,"IT",1952,1972,105,371698 8 | "Bertolotto (1981)",1981,"IT",1955,1974,73,301283 9 | "Monckton (1982)",1982,"CA",1950,1979,110,420374 10 | "Dellamonica (1983)",1983,"FR",1978,1978,12,71091 11 | "Nigro (1983)",1983,"IT",1969,1980,156,721163 12 | "Scheuerbrandt (1986)",1986,"DE",1977,1984,48,176600 13 | "Mostacciuolo (1987)",1987,"IT",1955,1984,76,292637 14 | "Takeshita (1988)",1987,"JP",1956,1980,50,261254 15 | "Greenberg (1989)",1988,"CA",1986,1987,5,18000 16 | "Tangsrud (1989)",1989,"NO",1968,1977,16,72963 17 | "Merlini (1992)",1992,"IT",1970,1982,20,77654 18 | "van Essen (1992)",1992,"NL",1961,1982,397,1673791 19 | "Bradley (1993)",1993,"UK",1990,1992,9,34219 20 | "Peterlin (1997)",1997,"SI",1969,1984,29,210324 21 | "Drousiotou (1998)",1998,"CY",1992,1997,5,30014 22 | "Jeppesen (2003)",2003,"DK",1992,1996,21,111703 23 | "Talkop (2003)",2003,"EE",1986,1990,11,62188 24 | "Eyskens (2006)",2006,"BE",1979,2003,51,281214 25 | "Dooley (2010)",2010,"CA",1969,2003,40,190521 26 | "Mendell (2012)",2012,"US",2007,2011,6,37649 27 | "Moat (2013)",2013,"UK",1990,2011,72,369780 28 | -------------------------------------------------------------------------------- /data-raw/dat.crisafulli2020.r: -------------------------------------------------------------------------------- 1 | dat.crisafulli2020 <- read.csv("data-raw/dat.crisafulli2020.csv", 2 | colClasses=c("character","integer","factor", 3 | "integer","integer","integer","integer")) 4 | save("dat.crisafulli2020", file="data/dat.crisafulli2020.rda") 5 | -------------------------------------------------------------------------------- /data-raw/dat.curtin2002.r: -------------------------------------------------------------------------------- 1 | # Curtin F, Altman DG, Elbourne D (2002). Meta-analysis combining parallel and 2 | # cross-over clinical trials. I: Continuous outcomes. Statistics in Medicine, 3 | # 21, 2131-44. 4 | 5 | dat.curtin2002 <- read.csv("data-raw/dat.curtin2002.txt") 6 | save(dat.curtin2002, file = "data/dat.curtin2002.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.curtin2002.txt: -------------------------------------------------------------------------------- 1 | "author","year","N","mean","SE","corr" 2 | "1","Skrabal et al.","1981a",20,-4.5,2.1,0.49 3 | "2","Skrabal et al.","1981b",20,-0.5,1.7,0.54 4 | "3","MacGregor et al.","1982",23,-4,1.9,0.41 5 | "4","Khaw and Thom","1982",20,-2.4,1.1,0.83 6 | "5","Richards et al.","1984",12,-1,3.4,0.5 7 | "6","Smith et al.","1985",20,0,1.9,0.5 8 | "7","Kaplan et al.","1985",16,-5.8,1.6,0.65 9 | "8","Zoccali et al.","1985",23,-3,3,0.5 10 | "9","Matlou et al.","1986",36,-3,1.5,0.61 11 | "10","Barden et al.","1986",44,-1.5,1.4,0.44 12 | "11","Poulter and Sever","1986",19,2,2.2,0.36 13 | "12","Grobbee et al.","1987",40,-0.3,1.5,0.61 14 | "13","Krishna et al.","1989",10,-8,2.2,0.48 15 | "14","Mullen and O'Connor","1990a",24,3,2,0.5 16 | "15","Mullen and O'Connor","1990b",24,1.4,2,0.5 17 | "16","Patki et al.","1990",37,-13.1,0.7,0.53 18 | "17","Valdes et al.","1991",24,-3,2,0.5 19 | "18","Barden et al.","1991",39,-0.6,0.6,0.88 20 | "19","Overlack et al.","1991",12,3,2,0.5 21 | "20","Smith et al.","1992",22,-1.7,2.5,0.29 22 | "21","Fotherby and Potter","1992",18,-6,2.5,0.81 23 | -------------------------------------------------------------------------------- /data-raw/dat.curtis1998.r: -------------------------------------------------------------------------------- 1 | # Curtis, P. S., & Wang, X. (1998). A meta-analysis of elevated CO2 effects on 2 | # woody plant mass, form, and physiology. Oecologia, 113(3), 299-313. 3 | 4 | # data from: Hedges, L. V., Gurevitch, J., & Curtis, P. S. (1999). The 5 | # meta-analysis of response ratios in experimental ecology. Ecology, 80(4), 6 | # 1150-1156. 7 | 8 | dat.curtis1998 <- read.table("data-raw/dat.curtis1998.txt", header=FALSE, stringsAsFactors=FALSE) 9 | dat.curtis1998[dat.curtis1998$V4 == "mg", "V19"] <- dat.curtis1998[dat.curtis1998$V4 == "mg", "V19"]/1000 10 | dat.curtis1998[dat.curtis1998$V4 == "mg", "V21"] <- dat.curtis1998[dat.curtis1998$V4 == "mg", "V21"]/1000 11 | dat.curtis1998[dat.curtis1998$V4 == "mg", "V23"] <- dat.curtis1998[dat.curtis1998$V4 == "mg", "V23"]/1000 12 | dat.curtis1998[dat.curtis1998$V4 == "mg", "V25"] <- dat.curtis1998[dat.curtis1998$V4 == "mg", "V25"]/1000 13 | dat.curtis1998 <- dat.curtis1998[,-c(3,4,7,18,20,24)] 14 | dat.curtis1998 <- cbind(dat.curtis1998[,1:14], dat.curtis1998[,18:20], dat.curtis1998[,15:17]) 15 | names(dat.curtis1998) <- c("id", "paper", "genus", "species", "fungrp", "co2.ambi", "co2.elev", "units", "time", "pot", "method", "stock", "xtrt", "level", "m1i", "sd1i", "n1i", "m2i", "sd2i", "n2i") 16 | dat.curtis1998$level[dat.curtis1998$level == "HI"] <- "HIGH" 17 | #temp <- table(dat.curtis1998$xtrt, dat.curtis1998$level); addmargins(temp) 18 | save(dat.curtis1998, file="data/dat.curtis1998.rda") 19 | -------------------------------------------------------------------------------- /data-raw/dat.dagostino1998.r: -------------------------------------------------------------------------------- 1 | # D'Agostino, R. B., Sr., Weintraub, M., Russell, H. K., Stepanians, M., 2 | # D'Agostino, R. B., Jr., Cantilena, L. R., Jr., Graumlich, J. F., Maldonado, 3 | # S., Honig, P., & Anello, C. (1998). The effectiveness of antihistamines in 4 | # reducing the severity of runny nose and sneezing: A meta-analysis. Clinical 5 | # Pharmacology & Therapeutics, 64(6), 579-596. 6 | 7 | dat.dagostino1998 <- read.table("data-raw/dat.dagostino1998.txt", header=TRUE, stringsAsFactors=FALSE) 8 | save(dat.dagostino1998, file="data/dat.dagostino1998.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.damico2009.r: -------------------------------------------------------------------------------- 1 | # D'Amico, R., Pifferi, S., Torri, V., Brazzi, L., Parmelli, E., & Liberati, 2 | # A. (2009). Antibiotic prophylaxis to reduce respiratory tract infections and 3 | # mortality in adults receiving intensive care. Cochrane Database of 4 | # Systematic Reviews(4). 5 | 6 | dat.damico2009 <- read.table("data-raw/dat.damico2009.txt", header=TRUE, stringsAsFactors=FALSE) 7 | save(dat.damico2009, file="data/dat.damico2009.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.damico2009.txt: -------------------------------------------------------------------------------- 1 | study year xt nt xc nc conceal blind 2 | Abele-Horn 1997 13 58 23 30 0 0 3 | Aerdts 1991 1 28 29 60 1 0 4 | Blair 1991 12 161 38 170 1 0 5 | Boland 1991 14 32 17 32 0 1 6 | Cockerill 1992 4 75 12 75 0 0 7 | Finch 1991 4 20 7 24 1 0 8 | Jacobs 1992 0 45 4 46 0 0 9 | Kerver 1988 5 49 31 47 0 0 10 | Palomar 1997 10 50 25 49 0 0 11 | Rocha 1992 7 47 25 54 0 1 12 | Sanchez-Garcia 1992 32 131 60 140 1 1 13 | Stoutenbeek 2007 62 201 100 200 1 0 14 | Ulrich 1989 7 55 26 57 1 0 15 | Verwaest 1997 22 193 40 185 1 0 16 | Winter 1992 3 91 17 92 1 0 17 | Krueger 2002 91 265 149 262 1 1 18 | -------------------------------------------------------------------------------- /data-raw/dat.debruin2009.r: -------------------------------------------------------------------------------- 1 | # de Bruin, M., Viechtbauer, W., Hospers, H. J., Schaalma, H. P., & Kok, G. 2 | # (2009). Standard care quality determines treatment outcomes in control 3 | # groups of HAART-adherence intervention studies: Implications for the 4 | # interpretation and comparison of intervention effects. Health Psychology, 5 | # 28(6), 668-674. 6 | 7 | dat.debruin2009 <- read.table("data-raw/dat.debruin2009.txt", header=TRUE, stringsAsFactors=FALSE) 8 | save(dat.debruin2009, file="data/dat.debruin2009.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.debruin2009.txt: -------------------------------------------------------------------------------- 1 | author year scq ni xi mi ethnicity patients select sens 2 | "Andrade et al." 2005 21.00 29 11 18 other starting no <400 3 | "Fairley et al." 2003 22.67 33 24 9 caucasian continuing yes <400 4 | "Goujard et al." 2003 15.07 326 179 147 caucasian continuing no <400 5 | "Holzemer et al." 2006 3.67 240 82 158 other continuing no 400 6 | "Knobel et al." 1999 8.60 110 60 50 caucasian starting no <400 7 | "Murphy et al." 2002 27.80 29 11 18 other continuing yes 400 8 | "Pradier et al." 2003 4.80 244 99 145 caucasian continuing no <400 9 | "Rathbun et al." 2005 12.07 17 9 8 caucasian starting no <400 10 | "Remien et al." 2005 20.00 215 88 127 other continuing yes <400 11 | "Tuldra et al." 2000 7.47 26 17 9 caucasian starting no 400 12 | "van Servellen" 2005 7.80 138 26 112 other continuing yes 400 13 | "Wagner et al." 2006 10.47 55 23 32 other starting yes 400 14 | "Wohl et al." 2006 22.80 54 40 14 other starting no 400 15 | -------------------------------------------------------------------------------- /data-raw/dat.dogliotti2014.r: -------------------------------------------------------------------------------- 1 | # Dogliotti A, Paolasso E, Giugliano RP (2014). 2 | # Current and new oral antithrombotics in non-valvular atrial 3 | # fibrillation: a network meta-analysis of 79 808 patients. 4 | # Heart, 100, 396-405. 5 | 6 | dat.dogliotti2014 <- read.csv("data-raw/dat.dogliotti2014.txt") 7 | save(dat.dogliotti2014, file="data/dat.dogliotti2014.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.dong2013.r: -------------------------------------------------------------------------------- 1 | # Dong Y-H, Lin H-H, Shau W-Y, Wu Y-C, Chang C-H, Lai M-S (2013). 2 | # Comparative safety of inhaled medications in patients with chronic 3 | # obstructive pulmonary disease: systematic review and mixed 4 | # treatment comparison meta-analysis of randomised controlled trials. 5 | # Thorax, 68, 48-56. 6 | 7 | dat.dong2013 <- read.csv("data-raw/dat.dong2013.txt") 8 | save(dat.dong2013, file="data/dat.dong2013.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.dorn2007.r: -------------------------------------------------------------------------------- 1 | # Dorn, S. D., Kaptchuk, T. J., Park, J. B., Nguyen, L. T., Canenguez, K., 2 | # Nam, B. H., Woods, K. B., Conboy, L. A., Stason, W. B., & Lembo, A. J. 3 | # (2007). A meta-analysis of the placebo response in complementary and 4 | # alternative medicine trials of irritable bowel syndrome. 5 | # Neurogastroenterology & Motility, 19(8), 630-637. 6 | 7 | dat.dorn2007 <- read.table("data-raw/dat.dorn2007.txt", header=TRUE, stringsAsFactors=FALSE) 8 | dat.dorn2007 <- dat.dorn2007[c(1:6,11,9,10,7,8)] 9 | dat.dorn2007 <- cbind(id=1:nrow(dat.dorn2007), dat.dorn2007) 10 | save(dat.dorn2007, file="data/dat.dorn2007.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.dorn2007.txt: -------------------------------------------------------------------------------- 1 | study year country ibs.crit days visits x.p n.p x.a n.a jadad 2 | Bensoussan 1998 Australia "Rome I" 112 7 11 32 29 38 5 3 | Blanchard 1992 USA Other 84 12 21 30 20 31 3 4 | Brinkhaus 2005 Germany Other 126 5 30 46 14 23 5 5 | Carling 1989 Sweden Other 14 2 5 13 17 30 3 6 | Davis 2006 UK "Rome II" 30 2 6 23 11 27 5 7 | Dew 1984 Wales Other 14 NA 5 29 24 29 2 8 | Gade 1989 Denmark Other 28 3 9 22 26 32 4 9 | Halpern 1996 USA Manning 42 NA 13 18 17 18 5 10 | Kim 2003 USA "Rome II" 56 NA 5 13 4 12 4 11 | Leung 2006 "Hong Kong" "Rome II" 56 2 26 59 21 60 5 12 | Lu 2005 Singapore "Rome II" 56 NA 8 17 15 17 3 13 | Madisch 2004 Germany "Rome II" 28 3 20 52 37 51 4 14 | Nash 1986 England Other 14 NA 17 33 13 33 4 15 | Niedzielin 2001 Poland Manning 28 2 3 20 19 20 3 16 | Olesen 2000 Denmark Manning 84 5 30 46 29 50 5 17 | Rees 1979 Wales Other 21 NA 5 16 13 16 1 18 | Sallon 2002 Israel "Rome I" 84 4 8 26 25 33 5 19 | Yadav 1989 India Other 42 NA 17 50 37 57 5 20 | Whorwell 2006 UK "Rome II" 28 2 37 90 55 90 5 21 | -------------------------------------------------------------------------------- /data-raw/dat.dumouchel1994.csv: -------------------------------------------------------------------------------- 1 | "study","smoke","no2","gender","or","lower","upper" 2 | "Melia77","no","no","yes",1.28,1.14,1.43 3 | "Melia79","no","no","yes",1.22,1.08,1.37 4 | "Melia80","no","yes","yes",1.49,1.04,2.14 5 | "Melia82","no","yes","yes",1.11,0.84,1.46 6 | "Ware84","no","no","no",1.07,0.98,1.17 7 | "Neas91","yes","yes","yes",1.4,1.14,1.72 8 | "Ekwo83","yes","no","no",1.09,0.82,1.45 9 | "Dijkstra90","no","yes","no",0.94,0.7,1.27 10 | "Keller79","no","no","no",0.75,0.35,1.62 11 | -------------------------------------------------------------------------------- /data-raw/dat.dumouchel1994.r: -------------------------------------------------------------------------------- 1 | dat.dumouchel1994 <- read.csv("data-raw/dat.dumouchel1994.csv") 2 | 3 | for (i in 2:4) 4 | dat.dumouchel1994[,i] <- factor(dat.dumouchel1994[,i], 5 | levels=c("no","yes")) 6 | 7 | save("dat.dumouchel1994", 8 | file="data/dat.dumouchel1994.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.egger2001.r: -------------------------------------------------------------------------------- 1 | # Egger, M., Davey Smith, G., & Altman, D. G. (Eds.) (2001). Systematic 2 | # reviews in health care: Meta-analysis in context (2nd ed.). London: BMJ 3 | # Books. 4 | 5 | # Sterne, J. A. C., & Egger, M. (2001). Funnel plots for detecting bias in 6 | # meta-analysis: Guidelines on choice of axis. Journal of Clinical 7 | # Epidemiology, 54(10), 1046-1055. 8 | 9 | dat.egger2001 <- read.table("data-raw/dat.egger2001.txt", header=TRUE, stringsAsFactors=FALSE) 10 | save(dat.egger2001, file="data/dat.egger2001.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.egger2001.txt: -------------------------------------------------------------------------------- 1 | id study year ai n1i ci n2i 2 | 1 Morton 1984 1 40 2 36 3 | 2 Rasmussen 1986 9 135 23 135 4 | 3 Smith 1986 2 200 7 200 5 | 4 Abraham 1987 1 48 1 46 6 | 5 Feldstedt 1988 10 150 8 148 7 | 6 Shechter 1989 1 59 9 56 8 | 7 Ceremuzynski 1989 1 25 3 23 9 | 8 Bertschat 1989 0 22 1 21 10 | 9 Singh 1990 6 76 11 75 11 | 10 Pereira 1990 1 27 7 27 12 | 11 Shechter 1991 2 89 12 80 13 | 12 Golf 1991 5 23 13 33 14 | 13 Thogersen 1991 4 130 8 122 15 | 14 LIMIT-2 1992 90 1159 118 1157 16 | 15 Shechter 1995 4 107 17 108 17 | 16 ISIS-4 1995 2216 29011 2103 29039 18 | -------------------------------------------------------------------------------- /data-raw/dat.fine1993.r: -------------------------------------------------------------------------------- 1 | # Fine, H. A., Dear, K. B., Loeffler, J. S., Black, P. M., & Canellos, G. P. 2 | # (1993). Meta-analysis of radiation therapy with and without adjuvant 3 | # chemotherapy for malignant gliomas in adults. Cancer, 71(8), 2585-2597. 4 | 5 | # Dear, K. B. G. (1994). Iterative generalized least squares for meta-analysis 6 | # of survival data at multiple times. Biometrics, 50(4), 989-1002. 7 | 8 | # Trikalinos, T. A., & Olkin, I. (2012). Meta-analysis of effect sizes 9 | # reported at multiple time points: A multivariate approach. Clinical Trials, 10 | # 9(5), 610-620. 11 | 12 | dat.fine1993 <- read.table("data-raw/dat.fine1993.txt", header=TRUE, stringsAsFactors=FALSE) 13 | save(dat.fine1993, file="data/dat.fine1993.rda") 14 | -------------------------------------------------------------------------------- /data-raw/dat.fine1993.txt: -------------------------------------------------------------------------------- 1 | study nei nci e1i c1i e2i c2i e3i c3i e4i c4i 2 | 1 19 22 16 20 11 12 4 8 4 3 3 | 2 34 35 22 22 18 12 15 8 15 6 4 | 3 72 68 44 40 21 15 10 3 3 0 5 | 4 22 20 19 12 14 5 5 4 2 3 6 | 5 70 32 62 27 42 13 26 6 15 5 7 | 6 183 94 130 65 80 33 47 14 30 11 8 | 7 26 50 24 30 13 18 5 10 3 9 9 | 8 61 55 51 44 37 30 19 19 11 15 10 | 9 36 25 30 17 23 12 13 4 10 4 11 | 10 45 35 43 35 19 14 8 4 6 0 12 | 11 246 208 169 139 106 76 67 42 51 35 13 | 12 386 141 279 97 170 46 97 21 73 8 14 | 13 59 32 56 30 34 17 21 9 20 7 15 | 14 45 15 42 10 18 3 9 1 9 1 16 | 15 14 18 14 18 13 14 12 13 9 12 17 | 16 26 19 21 15 12 10 6 4 5 1 18 | 17 74 75 NA NA 42 40 NA NA 23 30 19 | -------------------------------------------------------------------------------- /data-raw/dat.franchini2012.r: -------------------------------------------------------------------------------- 1 | # Franchini AJ, Dias S, Ades AE, Jansen JP, Welton NJ (2012). 2 | # Accounting for correlation in network meta-analysis with multi-arm 3 | # trials. Research Synthesis Methods, 3, 142-60. 4 | 5 | dat.franchini2012 <- read.csv("data-raw/dat.franchini2012.txt") 6 | save(dat.franchini2012, file="data/dat.franchini2012.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.franchini2012.txt: -------------------------------------------------------------------------------- 1 | "Study","Treatment1","y1","sd1","n1","Treatment2","y2","sd2","n2","Treatment3","y3","sd3","n3" 2 | "Lieberman 1998","Placebo",-1.22,3.7,54,"Ropinirole",-1.53,4.28,95,NA,NA,NA,NA 3 | "Lieberman 1997","Placebo",-0.7,3.7,172,"Pramipexole",-2.4,3.4,173,NA,NA,NA,NA 4 | "Guttman 1997","Placebo",-0.3,4.4,76,"Pramipexole",-2.6,4.3,71,"Bromocriptine",-1.2,4.3,81 5 | "Brunt 2002, Group A","Ropinirole",-0.24,3,128,"Bromocriptine",-0.59,3,72,NA,NA,NA,NA 6 | "Brunt 2002, Group B","Ropinirole",-0.73,3,80,"Bromocriptine",-0.18,3,46,NA,NA,NA,NA 7 | "Gershanik 1994b","Bromocriptine",-2.2,2.31,137,"Cabergoline",-2.5,2.18,131,NA,NA,NA,NA 8 | "Gershanik 1994a","Bromocriptine",-1.8,2.48,154,"Cabergoline",-2.1,2.99,143,NA,NA,NA,NA 9 | -------------------------------------------------------------------------------- /data-raw/dat.frank2008.r: -------------------------------------------------------------------------------- 1 | # Frank, B., Rigas, S. H., Bermejo, J. L., Wiestler, M., Wagner, K., Hemminki, K., Reed, M. W., 2 | # Sutter, C., Wappenschmidt, B., Balasubramanian, S. P., Meindl, A., Kiechle, M., Bugert, P., 3 | # Schmutzler, R. K., Bartram, C. R., Justenhoven, C., Ko, Y.-D., Brüning, T., Brauch, H., Hamann, 4 | # U., Pharoah, P. P. D., Dunning, A. M., Pooley, K. A., Easton, D. F., Cox, A. & Burwinkel, B. 5 | # (2008). The CASP8 -652 6N del promoter polymorphism and breast cancer risk: A multicenter study. 6 | # Breast Cancer Research and Treatment, 111(1), 139-144. https://doi.org/10.1007/s10549-007-9752-z 7 | 8 | dat.frank2008 <- read.table("data-raw/dat.frank2008.txt", header=TRUE, stringsAsFactors=FALSE) 9 | save(dat.frank2008, file="data/dat.frank2008.rda") 10 | -------------------------------------------------------------------------------- /data-raw/dat.frank2008.txt: -------------------------------------------------------------------------------- 1 | study bc.ins.ins bc.ins.del bc.del.del ct.ins.ins ct.ins.del ct.del.del 2 | GFBCS 298 535 221 270 506 263 3 | SBCS 235 541 251 245 608 321 4 | GENICA 280 509 222 285 492 229 5 | SEARCH 1133 2115 1050 1149 2263 1062 6 | -------------------------------------------------------------------------------- /data-raw/dat.furukawa2003.r: -------------------------------------------------------------------------------- 1 | # Furukawa TA, McGuire H, Barbui C (2003). Low dosage tricyclic 2 | # antidepressants for depression. Cochrane Database of Systematic Reviews, 3 | # CD003197. 4 | 5 | dat.furukawa2003 <- read.csv("data-raw/dat.furukawa2003.txt") 6 | save(dat.furukawa2003, file = "data/dat.furukawa2003.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.furukawa2003.txt: -------------------------------------------------------------------------------- 1 | "author","Ne","Me","Se","Nc","Mc","Sc" 2 | "1","Blashki(75&150)",13,6.4,5.4,18,11.4,9.6 3 | "2","Hormazabal(86)",17,11,8.2,16,19,8.2 4 | "3","Jacobson(75-100)",10,17.5,8.8,6,23,8.8 5 | "4","Jenkins(75)",7,12.3,9.9,7,20,10.5 6 | "5","Lecrubier(100)",73,15.7,10.6,73,18.7,10.6 7 | "6","Murphy(100)",26,8.5,11,28,14.5,11 8 | "7","Nandi(97)",17,25.5,24,10,53.2,11.2 9 | "8","Petracca(100)",11,6.2,7.6,10,10,7.6 10 | "9","Philipp(100)",105,-8.1,3.9,46,-8.5,5.2 11 | "10","Rampello(100)",22,13.4,2.3,19,19.7,1.3 12 | "11","Reifler(83)",13,12.5,7.6,15,12.5,7.6 13 | "12","Rickels(70)",29,1.99,0.77,39,2.54,0.77 14 | "13","Robertson(75)",13,11,8.2,13,15,8.2 15 | "14","Rouillon(98)",78,15.8,6.8,71,17.1,7.2 16 | "15","Tan(70)",23,-8.5,8.6,23,-8.3,6 17 | "16","Tetreault(50-100)",11,51.9,18.5,11,74.3,18.5 18 | "17","Thompson(75)",11,8,8.1,18,10,9.7 19 | -------------------------------------------------------------------------------- /data-raw/dat.gibson2002.r: -------------------------------------------------------------------------------- 1 | # Gibson, P. G., Powell, H., Wilson, A., Abramson, M. J., Haywood, P., Bauman, 2 | # A., et al. (2002). Self-management education and regular practitioner review 3 | # for adults with asthma. Cochrane Database of Systematic Reviews, 3. 4 | 5 | dat.gibson2002 <- read.table("data-raw/dat.gibson2002.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.gibson2002, file="data/dat.gibson2002.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.gibson2002.txt: -------------------------------------------------------------------------------- 1 | author year n1i m1i sd1i n2i m2i sd2i ai bi ci di type 2 | Cote 1997 50 2.20 12.73 54 5.20 12.50 NA NA NA NA 1 3 | Ghosh 1998 140 17.60 24.20 136 34.10 38.80 NA NA NA NA 1 4 | Hayward 1996 23 0.38 0.56 19 0.23 0.29 NA NA NA NA 1 5 | Heard 1999 97 2.09 5.93 94 2.66 4.95 34 63 36 58 1 6 | Ignacio-Garcia 1995 35 4.92 6.05 35 20.00 26.34 24 11 29 6 1 7 | Knoell 1998 45 0.85 4.75 55 2.31 9.16 NA NA NA NA 1 8 | Lahdensuo 1996 56 2.80 9.00 59 4.80 7.20 13 43 25 34 1 9 | Sommaruga 1995 20 24.10 11.80 20 31.80 17.90 NA NA NA NA 1 10 | Zeiger 1991 128 1.40 3.30 143 2.30 7.60 NA NA NA NA 1 11 | Garret 1994 119 6.23 12.20 100 5.71 8.57 58 42 57 33 2 12 | Neri 1996 32 2.10 8.00 33 5.10 14.00 7 25 13 20 3 13 | Hilton 1986 86 0.73 1.48 100 0.47 1.20 NA NA NA NA 4 14 | Gallefoss 1999 25 8.00 32.00 24 26.00 70.00 NA NA NA NA 5 15 | Yoon 1993 28 NA NA 28 NA NA 5 23 4 24 1 16 | Brewin 1995 12 NA NA 33 NA NA 0 12 16 17 3 17 | -------------------------------------------------------------------------------- /data-raw/dat.graves2010.r: -------------------------------------------------------------------------------- 1 | # Graves, P. M., Deeks, J. J., Demicheli, V., & Jefferson, T. (2010). Vaccines 2 | # for preventing cholera: Killed whole cell or other subunit vaccines 3 | # (injected). Cochrane Database of Systematic Reviews, 8, CD000974. 4 | # https://doi.org/10.1002/14651858.CD000974.pub2 5 | 6 | dat.graves2010 <- read.table("data-raw/dat.graves2010.txt", header=TRUE, stringsAsFactors=FALSE) 7 | save(dat.graves2010, file="data/dat.graves2010.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.graves2010.txt: -------------------------------------------------------------------------------- 1 | study ai n1i ci n2i 2 | "Oseasohn 1965" 8 6956 33 7103 3 | "McCormack 1969" 44 29939 35 9923 4 | "Mosley 1970-i" 32 11491 13 3810 5 | "Mosley 1970-ii" 2 11435 12 3810 6 | "Taneja 1965" 73 40326 27 10789 7 | "PCC 1973b" 72 82220 93 40620 8 | "PCC 1973a-i" 38 44500 23 11050 9 | "PCC 1973a-ii" 33 45750 22 11050 10 | "PCC 1973a-iii" 36 44450 23 11050 11 | "PCC 1973a-iv" 26 44700 22 11050 12 | "Azurin 1965-i" 110 145500 52 48934 13 | "Azurin 1965-ii" 92 148100 52 48933 14 | "Azurin 1965-iii" 71 143600 52 48933 15 | "Pal 1980" 13 101096 33 101030 16 | "PCC 1968" 54 268700 41 90900 17 | "Saroso 1978-i" 18 156300 19 79250 18 | "Saroso 1978-ii" 10 155600 18 79250 19 | -------------------------------------------------------------------------------- /data-raw/dat.gurusamy2011.r: -------------------------------------------------------------------------------- 1 | # Gurusamy KS, Pissanou T, Pikhart H, Vaughan J, Burroughs AK, 2 | # Davidson BR (2011). 3 | # Methods to decrease blood loss and transfusion requirements for 4 | # liver transplantation. 5 | # Cochrane Database of Systematic Reviews, CD009052. 6 | 7 | dat.gurusamy2011 <- read.csv("data-raw/dat.gurusamy2011.txt") 8 | save(dat.gurusamy2011, file="data/dat.gurusamy2011.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.gurusamy2011.txt: -------------------------------------------------------------------------------- 1 | "study","treatment","death","n" 2 | "Findlay 2001","Control/Placebo",1,30 3 | "Findlay 2001","Aprotonin",0,33 4 | "Garcia-Huete 1997","Control/Placebo",3,41 5 | "Garcia-Huete 1997","Aprotonin",1,39 6 | "Porte 2000","Control/Placebo",4,48 7 | "Porte 2000","Aprotonin",5,89 8 | "Boylan 1996","Control/Placebo",3,20 9 | "Boylan 1996","Tranexamic acid",0,25 10 | "Dalmau 2000","Control/Placebo",2,20 11 | "Dalmau 2000","Tranexamic acid",3,42 12 | "Dalmau 2000","EACA",3,42 13 | "Kaspar 1997","Control/Placebo",0,16 14 | "Kaspar 1997","Tranexamic acid",1,16 15 | "Baudo 1992","Control/Placebo",2,16 16 | "Baudo 1992","Antithrombin III",0,13 17 | "Lodge 2005","Control/Placebo",1,62 18 | "Lodge 2005","rFVIIa",3,121 19 | "Planinsic 2005","Control/Placebo",1,19 20 | "Planinsic 2005","rFVIIa",5,64 21 | "Pugliese 2007","Control/Placebo",0,10 22 | "Pugliese 2007","rFVIIa",0,10 23 | "Himmelreich 1992","Control/Placebo",0,10 24 | "Himmelreich 1992","Aprotonin",0,13 25 | "Williamson 1999","Control/Placebo",0,13 26 | "Williamson 1999","Solvent detergent plasma",0,12 27 | "Dalmau 2004","Aprotonin",1,63 28 | "Dalmau 2004","Tranexamic acid",4,64 29 | "Ickx 2006","Aprotonin",0,24 30 | "Ickx 2006","Tranexamic acid",2,27 31 | -------------------------------------------------------------------------------- /data-raw/dat.hackshaw1998.r: -------------------------------------------------------------------------------- 1 | # Hackshaw, A. K. (1998). Lung cancer and passive smoking. Statistical Methods 2 | # in Medical Research, 7(2), 119-136. 3 | 4 | suppressPackageStartupMessages(library(metafor, quietly=TRUE)) 5 | 6 | dat.hackshaw1998 <- read.table("data-raw/dat.hackshaw1998.txt", header=TRUE, stringsAsFactors=FALSE) 7 | dat.hackshaw1998$study <- 1:nrow(dat.hackshaw1998) 8 | dat.hackshaw1998 <- dat.hackshaw1998[,c(9,1:3,8,4:7)] 9 | dat.hackshaw1998$yi <- log(dat.hackshaw1998$or) 10 | if (F) { 11 | # check if CIs are symmetric 12 | dif <- round((log(dat.hackshaw1998$ci.ub) - log(dat.hackshaw1998$or)) - (log(dat.hackshaw1998$or) - log(dat.hackshaw1998$ci.lb)), 2) 13 | cbind(dat.hackshaw1998, dif)[abs(dif) >= .05,] 14 | } 15 | dat.hackshaw1998$vi <- ((log(dat.hackshaw1998$ci.ub) - log(dat.hackshaw1998$ci.lb)) / (2*qnorm(.975)))^2 16 | #dat.hackshaw1998$sei <- round(((log(dat.hackshaw1998$ci.ub) - log(dat.hackshaw1998$ci.lb)) / (2*1.96)),4) 17 | #dat.hackshaw1998$or <- NULL 18 | #dat.hackshaw1998$ci.lb <- NULL 19 | #dat.hackshaw1998$ci.ub <- NULL 20 | names(dat.hackshaw1998)[names(dat.hackshaw1998) == "ci.lb"] <- "or.lb" 21 | names(dat.hackshaw1998)[names(dat.hackshaw1998) == "ci.ub"] <- "or.ub" 22 | dat.hackshaw1998 <- escalc(measure="OR", yi=yi, vi=vi, data=dat.hackshaw1998) 23 | save(dat.hackshaw1998, file="data/dat.hackshaw1998.rda") 24 | -------------------------------------------------------------------------------- /data-raw/dat.hahn2001.r: -------------------------------------------------------------------------------- 1 | # Hahn, S., Kim, Y., & Garner, P. (2001). Reduced osmolarity oral rehydration 2 | # solution for treating dehydration due to diarrhoea in children: Systematic 3 | # review. British Medical Journal, 323(7304), 81-85. 4 | 5 | dat.hahn2001 <- read.table("data-raw/dat.hahn2001.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.hahn2001, file="data/dat.hahn2001.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.hahn2001.txt: -------------------------------------------------------------------------------- 1 | study ai n1i ci n2i 2 | "Banhladesh 1995a" 4 19 5 19 3 | "Banhladesh 1996a" 0 18 0 18 4 | "CHOICE 2001" 34 341 50 334 5 | "Colombia 2000" 7 71 16 69 6 | "Egypt 1886a" 6 45 5 44 7 | "Egypt 1996b" 1 94 8 96 8 | "India 1984a" 0 22 0 22 9 | "India 2000b" 11 88 12 82 10 | "Mexico 1990a" 2 82 7 84 11 | "Panama 1982" 0 33 0 30 12 | "USA 1982" 0 15 1 20 13 | "WHO 1995" 33 221 43 218 14 | -------------------------------------------------------------------------------- /data-raw/dat.hannum2020.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/data-raw/dat.hannum2020.csv -------------------------------------------------------------------------------- /data-raw/dat.hannum2020.r: -------------------------------------------------------------------------------- 1 | # Hannum, M. E., Ramirez, V. A., Lipson, S. J., Herriman, R. D., Toskala, A. K., Lin, C., Joseph, P. 2 | # V., & Reed, D. R. (2020). Objective sensory testing methods reveal a higher prevalence of 3 | # olfactory loss in COVID-19–positive patients compared to subjective methods: A systematic review 4 | # and meta-analysis. Chemical Senses, 45(9), 865-874. https://doi.org/10.1093/chemse/bjaa064 5 | 6 | dat.hannum2020 <- read.csv("data-raw/dat.hannum2020.csv", header=TRUE, stringsAsFactors=FALSE) 7 | dat.hannum2020$testType[1] <- substr(dat.hannum2020$testType[1], 1, 75) 8 | save(dat.hannum2020, file="data/dat.hannum2020.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.hart1999.r: -------------------------------------------------------------------------------- 1 | # Hart, R. G., Benavente, O., McBride, R., & Pearce, L. A. (1999). 2 | # Antithrombotic therapy to prevent stroke in patients with atrial 3 | # fibrillation: A meta-analysis. Annals of Internal Medicine, 131(7), 492-501. 4 | 5 | dat.hart1999 <- read.table("data-raw/dat.hart1999.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.hart1999, file="data/dat.hart1999.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.hart1999.txt: -------------------------------------------------------------------------------- 1 | trial study year x1i n1i t1i x2i n2i t2i compgrp prevtype trinr 2 | 1 "AFASAK" 1989 9 335 413 19 336 398 placebo primary "2.8-4.2" 3 | 2 "SPAF" 1991 8 210 263 19 211 245 placebo primary "2.0-4.5" 4 | 3 "BAATAF" 1990 3 212 487 13 208 435 control primary "1.5-2.7" 5 | 4 "CAFA" 1991 6 187 237 9 191 241 placebo primary "2.0-3.0" 6 | 5 "SPINAF" 1992 7 281 489 23 290 483 placebo primary "1.4-2.8" 7 | 6 "EAFT" 1993 20 225 507 50 214 405 placebo secondary "2.5-4.0" 8 | -------------------------------------------------------------------------------- /data-raw/dat.hartmannboyce2018.r: -------------------------------------------------------------------------------- 1 | # Hartmann‐Boyce, J., Chepkin, S. C., Ye, W., Bullen, C. & Lancaster, T. 2 | # (2018). Nicotine replacement therapy versus control for smoking cessation. 3 | # Cochrane Database of Systematic Reviews, 5. 4 | 5 | dat.hartmannboyce2018 <- read.table("data-raw/dat.hartmannboyce2018.txt", header=TRUE, stringsAsFactors=FALSE) 6 | 7 | save(dat.hartmannboyce2018, file="data/dat.hartmannboyce2018.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.hasselblad1998.r: -------------------------------------------------------------------------------- 1 | # Hasselblad, V. (1998). Meta-analysis of multitreatment studies. Medical 2 | # Decision Making, 18(1), 37-43. 3 | 4 | dat.hasselblad1998 <- read.table("data-raw/dat.hasselblad1998.txt", header=TRUE, stringsAsFactors=FALSE) 5 | save(dat.hasselblad1998, file="data/dat.hasselblad1998.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.hine1989.r: -------------------------------------------------------------------------------- 1 | # Hine, L. K., Laird, N., Hewitt, P., & Chalmers, T. C. (1989). Meta-analytic 2 | # evidence against prophylactic use of lidocaine in acute myocardial 3 | # infarction. Archives of Internal Medicine, 149(12), 2694-2698. 4 | 5 | # data used in: Normand, S. T. (1999). Meta-analysis: Formulating, evaluating, 6 | # combining, and reporting. Statistics in Medicine, 18(3), 321-359. 7 | 8 | dat.hine1989 <- read.table("data-raw/dat.hine1989.txt", header=TRUE, stringsAsFactors=FALSE) 9 | save(dat.hine1989, file="data/dat.hine1989.rda") 10 | -------------------------------------------------------------------------------- /data-raw/dat.hine1989.txt: -------------------------------------------------------------------------------- 1 | study source n1i n2i ai ci 2 | 1 "Chopra et al." 39 43 2 1 3 | 2 "Mogensen" 44 44 4 4 4 | 3 "Pitt et al." 107 110 6 4 5 | 4 "Darby et al." 103 100 7 5 6 | 5 "Bennett et al." 110 106 7 3 7 | 6 "O'Brien et al." 154 146 11 4 8 | -------------------------------------------------------------------------------- /data-raw/dat.ishak2007.r: -------------------------------------------------------------------------------- 1 | # Ishak, K. J., Platt, R. W., Joseph, L., Hanley, J. A., & Caro, J. J. (2007). 2 | # Meta-analysis of longitudinal studies. Clinical Trials, 4(5), 525-539. 3 | 4 | suppressPackageStartupMessages(library(metafor, quietly=TRUE)) 5 | 6 | dat.ishak2007 <- read.table("data-raw/dat.ishak2007.txt", header=TRUE, stringsAsFactors=FALSE) 7 | dat.ishak2007 <- escalc(measure="MD", yi=y1i, vi=v1i, data=dat.ishak2007, var.names=c("y1i","v1i"), digits=1) 8 | dat.ishak2007 <- escalc(measure="MD", yi=y2i, vi=v2i, data=dat.ishak2007, var.names=c("y2i","v2i"), digits=1) 9 | dat.ishak2007 <- escalc(measure="MD", yi=y3i, vi=v3i, data=dat.ishak2007, var.names=c("y3i","v3i"), digits=1) 10 | dat.ishak2007 <- escalc(measure="MD", yi=y4i, vi=v4i, data=dat.ishak2007, var.names=c("y4i","v4i"), digits=1) 11 | save(dat.ishak2007, file="data/dat.ishak2007.rda") 12 | -------------------------------------------------------------------------------- /data-raw/dat.kalaian1996.r: -------------------------------------------------------------------------------- 1 | # Kalaian, H. A., & Raudenbush, S. W. (1996). A multivariate mixed linear 2 | # model for meta-analysis. Psychological Methods, 1(3), 227-235. 3 | 4 | dat.kalaian1996 <- read.table("data-raw/dat.kalaian1996.txt", header=TRUE, stringsAsFactors=FALSE) 5 | dat.kalaian1996 <- dat.kalaian1996[c(1:10,12,11)] 6 | dat.kalaian1996$vi <- round(with(dat.kalaian1996, 1/n1i + 1/n2i + yi^2 / (2*(n1i+n2i))), 4) 7 | save(dat.kalaian1996, file="data/dat.kalaian1996.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.kearon1998.r: -------------------------------------------------------------------------------- 1 | # Kearon, C., Julian, J. A., Math, M., Newman, T. E., & Ginsberg, J. S. 2 | # (1998). Noninvasive diagnosis of deep venous thrombosis. Annals of Internal 3 | # Medicine, 128(8), 663-677. 4 | 5 | dat.kearon1998 <- read.table("data-raw/dat.kearon1998.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.kearon1998, file="data/dat.kearon1998.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.knapp2017.r: -------------------------------------------------------------------------------- 1 | # Knapp, F., Viechtbauer, W., Leonhart, R., Nitschke, K., & Kaller, C. P. 2 | # (2017). Planning performance in schizophrenia patients: A meta-analysis of 3 | # the influence of task difficulty and clinical and sociodemographic 4 | # variables. Psychological Medicine, 47(11), 2002-2016. 5 | 6 | # dat.knapp2017.txt from ~/work/consulting/zzz_complete/2013_freiburg_ma/ 7 | 8 | dat.knapp2017 <- read.table("data-raw/dat.knapp2017.txt", header=TRUE, stringsAsFactors=FALSE, sep="\t") 9 | save(dat.knapp2017, file="data/dat.knapp2017.rda") 10 | -------------------------------------------------------------------------------- /data-raw/dat.konstantopoulos2011.r: -------------------------------------------------------------------------------- 1 | # Konstantopoulos, S. (2011). Fixed effects and variance components estimation 2 | # in three-level meta-analysis. Research Synthesis Methods, 2(1), 61-76. 3 | 4 | # Cooper, H., Valentine, J. C., Charlton, K., & Melson, A. (2003). The effects 5 | # of modified school calendars on student achievement and on school and 6 | # community attitudes. Review of Educational Research, 73(1), 1-52. 7 | 8 | suppressPackageStartupMessages(library(metafor, quietly=TRUE)) 9 | 10 | dat.konstantopoulos2011 <- read.table("data-raw/dat.konstantopoulos2011.txt", header=TRUE, stringsAsFactors=FALSE) 11 | #dat.konstantopoulos2011 <- dat.konstantopoulos2011[,c(1,2,5,3,4)] 12 | dat.konstantopoulos2011 <- cbind(dat.konstantopoulos2011[,1,drop=FALSE], school=sequence(table(dat.konstantopoulos2011$district)), dat.konstantopoulos2011[,c(2,5,3:4)]) 13 | rownames(dat.konstantopoulos2011) <- 1:nrow(dat.konstantopoulos2011) 14 | dat.konstantopoulos2011 <- escalc(measure="SMD", yi=yi, vi=vi, data=dat.konstantopoulos2011, digits=3) 15 | save(dat.konstantopoulos2011, file="data/dat.konstantopoulos2011.rda") 16 | -------------------------------------------------------------------------------- /data-raw/dat.konstantopoulos2011.txt: -------------------------------------------------------------------------------- 1 | district study yi vi year 2 | 11 1 -0.18 0.118 1976 3 | 11 2 -0.22 0.118 1976 4 | 11 3 0.23 0.144 1976 5 | 11 4 -0.30 0.144 1976 6 | 12 5 0.13 0.014 1989 7 | 12 6 -0.26 0.014 1989 8 | 12 7 0.19 0.015 1989 9 | 12 8 0.32 0.024 1989 10 | 18 9 0.45 0.023 1994 11 | 18 10 0.38 0.043 1994 12 | 18 11 0.29 0.012 1994 13 | 27 12 0.16 0.020 1976 14 | 27 13 0.65 0.004 1976 15 | 27 14 0.36 0.004 1976 16 | 27 15 0.60 0.007 1976 17 | 56 16 0.08 0.019 1997 18 | 56 17 0.04 0.007 1997 19 | 56 18 0.19 0.005 1997 20 | 56 19 -0.06 0.004 1997 21 | 58 20 -0.18 0.020 1976 22 | 58 21 0.00 0.018 1976 23 | 58 22 0.00 0.019 1976 24 | 58 23 -0.28 0.022 1976 25 | 58 24 -0.04 0.020 1976 26 | 58 25 -0.30 0.021 1976 27 | 58 26 0.07 0.006 1976 28 | 58 27 0.00 0.007 1976 29 | 58 28 0.05 0.007 1976 30 | 58 29 -0.08 0.007 1976 31 | 58 30 -0.09 0.007 1976 32 | 71 31 0.30 0.015 1997 33 | 71 32 0.98 0.011 1997 34 | 71 33 1.19 0.010 1997 35 | 86 34 -0.07 0.001 1997 36 | 86 35 -0.05 0.001 1997 37 | 86 36 -0.01 0.001 1997 38 | 86 37 0.02 0.001 1997 39 | 86 38 -0.03 0.001 1997 40 | 86 39 0.00 0.001 1997 41 | 86 40 0.01 0.001 1997 42 | 86 41 -0.10 0.001 1997 43 | 91 42 0.50 0.010 2000 44 | 91 43 0.66 0.011 2000 45 | 91 44 0.20 0.010 2000 46 | 91 45 0.00 0.009 2000 47 | 91 46 0.05 0.013 2000 48 | 91 47 0.07 0.013 2000 49 | 108 48 -0.52 0.031 2000 50 | 108 49 0.70 0.031 2000 51 | 108 50 -0.03 0.030 2000 52 | 108 51 0.27 0.030 2000 53 | 108 52 -0.34 0.030 2000 54 | 644 53 0.12 0.087 1995 55 | 644 54 0.61 0.082 1995 56 | 644 55 0.04 0.067 1994 57 | 644 56 -0.05 0.067 1994 58 | -------------------------------------------------------------------------------- /data-raw/dat.landenberger2005.r: -------------------------------------------------------------------------------- 1 | # Landenberger, N. A., & Lipsey, M. W. (2005). The positive effects of 2 | # cognitive-behavioral programs for offenders: A meta-analysis of factors 3 | # associated with effective treatment. Journal of Experimental Criminology, 1, 4 | # 451-476. 5 | 6 | # Lipsey, M. W., Landenberger, N. A., & Wilson, S. J. (2007). Effects of 7 | # cognitive-behavioral programs for criminal offenders. Campbell Systematic 8 | # Reviews, 6. 9 | 10 | dat.landenberger2005 <- read.table("data-raw/dat.landenberger2005.txt", header=TRUE, stringsAsFactors=FALSE) 11 | save(dat.landenberger2005, file="data/dat.landenberger2005.rda") 12 | -------------------------------------------------------------------------------- /data-raw/dat.laopaiboon2015.r: -------------------------------------------------------------------------------- 1 | # Laopaiboon, M., Panpanich, R., & Swa Mya, K. (2015). Azithromycin for acute 2 | # lower respiratory tract infections. Cochrane Database of Systematic Reviews, 3 | # 3, CD001954. https://doi.org/10.1002/14651858.CD001954.pub4 4 | 5 | dat.laopaiboon2015 <- read.table("data-raw/dat.laopaiboon2015.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.laopaiboon2015, file="data/dat.laopaiboon2015.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.laopaiboon2015.txt: -------------------------------------------------------------------------------- 1 | author year ai n1i ci n2i age diag.ab diag.cb diag.pn ctrl 2 | Balmes 1991 4 48 7 56 adults 1 0 0 amoxyclav 3 | Beghi 1995 22 69 2 73 adults 0 1 0 amoxyclav 4 | Biebuyck 1996 53 497 53 257 adults 1 1 0 amoxyclav 5 | Daniel 1991 5 121 10 120 adults 1 0 0 amoxycillin 6 | Ferwerda 2001 5 55 7 53 children 0 0 1 amoxyclav 7 | Gris 1996 6 34 2 33 adults 1 1 1 amoxyclav 8 | Harris 1998 11 125 4 63 children 0 0 1 amoxyclav 9 | Hoepelman 1993 4 48 4 51 adults 1 0 0 amoxyclav 10 | Hoepelman 1998 3 62 5 61 adults 0 1 0 amoxyclav 11 | Mertens 1992 1 25 5 25 adults 0 1 0 amoxycillin 12 | Sevieri 1993 5 25 2 25 adults 0 1 0 amoxyclav 13 | Whitlock 1995 0 29 2 27 adults 0 1 0 amoxyclav 14 | Wubbel 1999 1 39 2 49 children 0 0 1 amoxyclav 15 | Zachariah 1996 8 173 7 173 adults 1 1 1 amoxyclav 16 | Zheng 2002 12 38 2 42 adults 0 1 0 amoxyclav 17 | -------------------------------------------------------------------------------- /data-raw/dat.lau1992.r: -------------------------------------------------------------------------------- 1 | # Lau, J., Antman, E. M., Jimenez-Silva, J., Kupelnick, B., Mosteller, F., & 2 | # Chalmers, T. C. (1992). Cumulative meta-analysis of therapeutic trials for 3 | # myocardial infarction. New England Journal of Medicine, 327(4), 248-254. 4 | 5 | # but actual data from skiv.pdf, which comes from the CMA website 6 | # https://www.meta-analysis.com/downloads/SKIV.pdf 7 | 8 | dat.lau1992 <- read.table("data-raw/dat.lau1992.txt", header=TRUE, stringsAsFactors=FALSE) 9 | save(dat.lau1992, file="data/dat.lau1992.rda") 10 | -------------------------------------------------------------------------------- /data-raw/dat.lau1992.txt: -------------------------------------------------------------------------------- 1 | trial year ai n1i ci n2i 2 | "Fletcher" 1959 1 12 4 11 3 | "Dewar" 1963 4 21 7 21 4 | "European 1" 1969 20 83 15 84 5 | "European 2" 1971 69 373 94 357 6 | "Heikinheimo" 1971 22 219 17 207 7 | "Italian" 1971 19 164 18 157 8 | "Australian 1" 1973 26 264 32 253 9 | "Frankfurt 2" 1973 13 102 29 104 10 | "NHLBI SMIT" 1974 7 53 3 54 11 | "Frank" 1975 6 55 6 53 12 | "Valere" 1975 11 49 9 42 13 | "Klein" 1976 4 14 1 9 14 | "UK Collab" 1976 38 302 40 293 15 | "Austrian" 1977 37 352 65 376 16 | "Australian 2" 1977 25 123 31 107 17 | "Lasierra" 1977 1 13 3 11 18 | "N Ger Collab" 1977 63 249 51 234 19 | "Witchitz" 1977 5 32 5 26 20 | "European 3" 1979 18 156 30 159 21 | "ISAM" 1986 54 859 63 882 22 | "GISSI-1" 1986 628 5860 758 5852 23 | "Olson" 1986 1 28 2 24 24 | "Baroffio" 1986 0 29 6 30 25 | "Schreiber" 1986 1 19 3 19 26 | "Cribier" 1986 1 21 1 23 27 | "Sainsous" 1986 3 49 6 49 28 | "Durand" 1987 3 35 4 29 29 | "White" 1987 2 107 12 112 30 | "Bassand" 1987 4 52 7 55 31 | "Vlay" 1988 1 13 2 12 32 | "Kennedy" 1988 12 191 17 177 33 | "ISIS-2" 1988 791 8592 1029 8595 34 | "Wisenberg" 1988 2 41 5 25 35 | -------------------------------------------------------------------------------- /data-raw/dat.lee2004.r: -------------------------------------------------------------------------------- 1 | # Lee, A., & Done, M. L. (2004). Stimulation of the wrist acupuncture point P6 2 | # for preventing postoperative nausea and vomiting. Cochrane Database of 3 | # Systematic Reviews(3), CD003281. 4 | 5 | dat.lee2004 <- read.table("data-raw/dat.lee2004.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.lee2004, file="data/dat.lee2004.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.lee2004.txt: -------------------------------------------------------------------------------- 1 | id study year ai n1i ci n2i 2 | 1 Agarwal 2000 18 100 20 100 3 | 2 Agarwal 2002 5 50 18 50 4 | 3 Alkaissi 1999 9 20 7 20 5 | 4 Alkaissi 2002 32 135 31 139 6 | 5 Allen 1994 9 23 10 23 7 | 6 Andrzejowski 1996 11 18 12 18 8 | 7 Duggal 1998 69 122 80 122 9 | 8 Dundee 1986 3 25 12 25 10 | 9 Ferrera-Love 1996 1 30 1 30 11 | 10 Gieron 1993 11 30 19 30 12 | 11 Harmon 1999 7 44 16 39 13 | 12 Harmon 2000 4 47 6 47 14 | 13 Ho 1996 1 30 13 30 15 | 14 Rusy 2002 24 40 71 80 16 | 15 Wang 2002 16 50 53 88 17 | 16 Zarate 2001 28 110 25 111 18 | -------------------------------------------------------------------------------- /data-raw/dat.lehmann2018.r: -------------------------------------------------------------------------------- 1 | dat.lehmann2018 <- read.csv("data-raw/dat.lehmann2018.csv") 2 | 3 | save(dat.lehmann2018, file="data/dat.lehmann2018.rda", ascii=FALSE) 4 | -------------------------------------------------------------------------------- /data-raw/dat.li2007.r: -------------------------------------------------------------------------------- 1 | # Li, J., Zhang, Q., Zhang, M., & Egger, M. (2007). Intravenous magnesium for 2 | # acute myocardial infarction. Cochrane Database of Systematic Reviews, 2. 3 | 4 | dat.li2007 <- read.table("data-raw/dat.li2007.txt", header=TRUE, stringsAsFactors=FALSE) 5 | save(dat.li2007, file="data/dat.li2007.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.li2007.txt: -------------------------------------------------------------------------------- 1 | id study year ai n1i ci n2i 2 | 1 Morton 1984 1 40 2 36 3 | 2 Rasmussen 1986 4 56 14 74 4 | 3 Smith 1986 2 92 7 93 5 | 4 Abraham 1987 1 48 1 46 6 | 5 Ceremuzynski 1989 1 25 3 23 7 | 6 Shechter 1990 1 50 9 53 8 | 7 Singh 1990 6 81 11 81 9 | 8 Feldstedt 1991 10 150 8 148 10 | 9 Shechter 1991 2 21 4 25 11 | 10 Woods 1992 90 1150 118 1150 12 | 11 Wu 1992 5 125 12 102 13 | 12 Thogersen 1995 4 130 8 122 14 | 13 Shechter 1995 4 96 17 98 15 | 14 ISIS-4 1995 2216 29011 2103 29039 16 | 15 Bhargava 1995 3 40 3 38 17 | 16 Urek 1996 1 31 0 30 18 | 17 Raghu 1999 6 169 18 181 19 | 18 MAGIC 2000 475 3113 472 3100 20 | 19 Gyamlani 2000 2 50 10 50 21 | 20 Santoro 2000 0 75 1 75 22 | 21 Zhu 2002 101 1691 134 1488 23 | 22 Nakashima 2004 1 89 3 91 24 | -------------------------------------------------------------------------------- /data-raw/dat.lim2014.r: -------------------------------------------------------------------------------- 1 | # Lim, J. N., Senior, A. M., & Nakagawa, S. (2014). Heterogeneity in 2 | # individual quality and reproductive trade-offs within species. Evolution, 3 | # 68(8), 2306-2318. 4 | 5 | # data from ~/work/meta_analysis/data/lim2014/data_github/ 6 | 7 | suppressPackageStartupMessages(library(ape, quietly=TRUE)) 8 | 9 | dat1 <- read.table("data-raw/dat.lim2014.dat1.txt", header=TRUE, stringsAsFactors=FALSE) 10 | dat2 <- read.table("data-raw/dat.lim2014.dat2.txt", header=TRUE, stringsAsFactors=FALSE) 11 | dat3 <- read.table("data-raw/dat.lim2014.dat3.txt", header=TRUE, stringsAsFactors=FALSE) 12 | dat4 <- read.table("data-raw/dat.lim2014.dat4.txt", header=TRUE, stringsAsFactors=FALSE) 13 | 14 | tree1 <- read.tree("data-raw/dat.lim2014.tree1.tre") 15 | tree2 <- read.tree("data-raw/dat.lim2014.tree2.tre") 16 | tree3 <- read.tree("data-raw/dat.lim2014.tree3.tre") 17 | tree4 <- read.tree("data-raw/dat.lim2014.tree4.tre") 18 | 19 | dat.lim2014 <- list("m_o_size"=dat1, "m_o_fecundity"=dat2, "o_o_unadj"=dat3, "o_o_adj"=dat4, 20 | "m_o_size_tree"=tree1, "m_o_fecundity_tree"=tree2, "o_o_unadj_tree"=tree3, "o_o_adj_tree"=tree4) 21 | 22 | save(dat.lim2014, file="data/dat.lim2014.rda") 23 | -------------------------------------------------------------------------------- /data-raw/dat.linde2005.r: -------------------------------------------------------------------------------- 1 | # Linde, K., Berner, M., Egger, M., & Mulrow, C. (2005). St John's wort for 2 | # depression: Meta-analysis of randomised controlled trials. British Journal 3 | # of Psychiatry, 186, 99-107. 4 | 5 | dat.linde2005 <- read.table("data-raw/dat.linde2005.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.linde2005, file="data/dat.linde2005.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.linde2015.r: -------------------------------------------------------------------------------- 1 | # Linde K, Kriston L, Rücker G, et al. (2015). 2 | # Efficacy and acceptability of pharmacological treatments for 3 | # depressive disorders in primary care: Systematic review and network 4 | # meta-analysis. 5 | # Annals of Family Medicine, 13, 69-79. 6 | 7 | dat.linde2015 <- read.csv("data-raw/dat.linde2015.txt") 8 | save(dat.linde2015, file="data/dat.linde2015.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.linde2016.r: -------------------------------------------------------------------------------- 1 | # Linde K, Rücker G, Schneider A et al. (2016). 2 | # Questionable assumptions hampered interpretation of a network 3 | # meta-analysis of primary care depression treatments. 4 | # Journal of Clinical Epidemiology, 71, 86-96. 5 | 6 | dat.linde2016 <- read.csv("data-raw/dat.linde2016.txt") 7 | save(dat.linde2016, file="data/dat.linde2016.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.lopez2019.r: -------------------------------------------------------------------------------- 1 | # López-López, J. A., Davies, S. R., Caldwell, D. M., Churchill, R., Peters, 2 | # T. J., Tallon, D., Dawson, S., Wu, Q., Li, J., Taylor, A., Lewis, G., 3 | # Kessler, D. S., Wiles, N., & Welton, N. J. (2019). The process and delivery 4 | # of CBT for depression in adults: A systematic review and network 5 | # meta-analysis. Psychological Medicine, 49(12), 1937-1947. 6 | 7 | dat.lopez2019 <- read.table("data-raw/dat.lopez2019.txt", header=TRUE, stringsAsFactors=FALSE, sep="\t") 8 | save(dat.lopez2019, file="data/dat.lopez2019.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.maire2019.r: -------------------------------------------------------------------------------- 1 | # Maire, A., Thierry, E., Viechtbauer, W., & Daufresne, M. (2019). Poleward 2 | # shift in large-river fish communities detected with a novel meta-analysis 3 | # framework. Freshwater Biology, 64(6), 1143-1156. 4 | 5 | # data from ~/work/meta_analysis/data/maire2019/ 6 | 7 | dat <- read.table("data-raw/dat.maire2019.data.txt", header=TRUE, stringsAsFactors=FALSE) 8 | dmat <- read.table("data-raw/dat.maire2019.dmat.txt", header=TRUE) 9 | dmat <- as.matrix(dmat) 10 | dat.maire2019 <- list(dat=dat, dmat=dmat) 11 | save(dat.maire2019, file="data/dat.maire2019.rda") 12 | -------------------------------------------------------------------------------- /data-raw/dat.mcdaniel1994.r: -------------------------------------------------------------------------------- 1 | # McDaniel, M. A., Whetzel, D. L., Schmidt, F. L., & Maurer, S. D. (1994). The 2 | # validity of employment interviews: A comprehensive review and meta-analysis. 3 | # Journal of Applied Psychology, 79(4), 599-616. 4 | 5 | # data from: Rothstein, H. R., Sutton, A. J., & Borenstein, M. (Eds.). (2005). 6 | # Publication bias in meta-analysis: Prevention, assessment, and adjustments. 7 | # Chichester, England: Wiley. 8 | 9 | dat.mcdaniel1994 <- read.table("data-raw/dat.mcdaniel1994.txt", header=TRUE, stringsAsFactors=FALSE) 10 | save(dat.mcdaniel1994, file="data/dat.mcdaniel1994.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.michael2013.r: -------------------------------------------------------------------------------- 1 | dat.michael2013 <- read.csv("data-raw/dat.michael2013.csv") 2 | 3 | save(dat.michael2013, file="data/dat.michael2013.rda", ascii=FALSE) 4 | -------------------------------------------------------------------------------- /data-raw/dat.molloy2014.r: -------------------------------------------------------------------------------- 1 | # Molloy, G. J., O'Carroll, R. E., & Ferguson, E. (2014). Conscientiousness 2 | # and medication adherence: A meta-analysis. Annals of Behavioral Medicine, 3 | # 47(1), 92-101. 4 | 5 | dat.molloy2014 <- read.table("data-raw/dat.molloy2014.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.molloy2014, file="data/dat.molloy2014.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.moura2021.r: -------------------------------------------------------------------------------- 1 | # Rios Moura, R., Oliveira Gonzaga, M., Silva Pinto, N., Vasconcellos-Neto, 2 | # J., & Requena, G. S. (2021). Assortative mating in space and time: Patterns 3 | # and biases. Ecology Letters, 24(5), 1089-1102. 4 | 5 | # data from ~/work/meta_analysis/data/moura2021/ 6 | 7 | suppressPackageStartupMessages(library(ape, quietly=TRUE)) 8 | 9 | dat <- read.table("data-raw/dat.moura2021.txt", header=TRUE, as.is=TRUE, sep="\t") 10 | names(dat)[names(dat) == "spatially.pooled.data"] <- "spatially.pooled" 11 | names(dat)[names(dat) == "temporally.pooled.data"] <- "temporally.pooled" 12 | tree <- read.tree("data-raw/dat.moura2021.tre") 13 | dat.moura2021 <- list(dat=dat, tree=tree) 14 | save(dat.moura2021, file="data/dat.moura2021.rda") 15 | -------------------------------------------------------------------------------- /data-raw/dat.nakagawa2007.csv: -------------------------------------------------------------------------------- 1 | StudyID,Place,Correlation,SampleSize Sparrow01,Demark1,0.57,13 Sparrow02,Demark2,0.52,10 Sparrow03,Demark3,0.89,14 Sparrow04,Hungary1,0.88,10 Sparrow05,Hungary1,0.483,19 Sparrow06,Norway1,0.32,9 Sparrow07,Norway1,0.04,6 Sparrow08,Norway2,0.33,11 Sparrow09,Norway2,0.54,9 Sparrow10,Norway3,0.33,9 Sparrow11,Spain1,0.488,41 Sparrow12,USA1,0.53,25 Sparrow13,USA2,0.147,20 Sparrow14,USA3,0.37,22 Sparrow15,USA4,0.1,28 -------------------------------------------------------------------------------- /data-raw/dat.nakagawa2007.r: -------------------------------------------------------------------------------- 1 | dat.nakagawa2007 <- read.csv("data-raw/dat.nakagawa2007.csv") 2 | 3 | save(dat.nakagawa2007, file="data/dat.nakagawa2007.rda", ascii=FALSE) 4 | -------------------------------------------------------------------------------- /data-raw/dat.nielweise2007.r: -------------------------------------------------------------------------------- 1 | # Niel-Weise, B. S., Stijnen, T., & van den Broek, P. J. (2007). 2 | # Anti-infective-treated central venous catheters: A systematic review of 3 | # randomized controlled trials. Intensive Care Medicine, 33(12), 2058-2068. 4 | 5 | # see also: Stijnen, T., Hamza, T. H., & Ozdemir, P. (2010). Random effects 6 | # meta-analysis of event outcome in the framework of the generalized linear 7 | # mixed model with applications in sparse data. Statistics in Medicine, 8 | # 29(29), 3046-3067. 9 | 10 | dat.nielweise2007 <- read.table("data-raw/dat.nielweise2007.txt", header=TRUE, stringsAsFactors=FALSE) 11 | dat.nielweise2007 <- dat.nielweise2007[,c(1,2,3,6,7,4,5)] 12 | save(dat.nielweise2007, file="data/dat.nielweise2007.rda") 13 | -------------------------------------------------------------------------------- /data-raw/dat.nielweise2007.txt: -------------------------------------------------------------------------------- 1 | study author year ci n2i ai n1i 2 | 1 Bach 1996 3 117 0 116 3 | 2 George 1997 3 35 1 44 4 | 3 Maki 1997 9 195 2 208 5 | 4 Raad 1997 7 136 0 130 6 | 5 Heard 1998 6 157 5 151 7 | 6 Collin 1999 4 139 1 98 8 | 7 Hannan 1999 3 177 1 174 9 | 8 Marik 1999 2 39 1 74 10 | 9 Pierce 2000 19 103 1 97 11 | 10 Sheng 2000 2 122 1 113 12 | 11 Chatzinikolaou 2003 7 64 0 66 13 | 12 Corral 2003 1 58 0 70 14 | 13 Brun-Buisson 2004 5 175 3 188 15 | 14 Leon 2004 11 180 6 187 16 | 15 Yucel 2004 0 105 0 118 17 | 16 Moretti 2005 1 262 0 252 18 | 17 Rupp 2005 3 362 1 345 19 | 18 Osma 2006 1 69 4 64 20 | -------------------------------------------------------------------------------- /data-raw/dat.nielweise2008.r: -------------------------------------------------------------------------------- 1 | # Niel-Weise, B. S., Stijnen, T., & van den Broek, P. J. (2008). 2 | # Anti-infective-treated central venous catheters for total parenteral 3 | # nutrition or chemotherapy: A systematic review. Journal of Hospital 4 | # Infection, 69(2), 114-123. 5 | 6 | # see also: Stijnen, T., Hamza, T. H., & Ozdemir, P. (2010). Random effects 7 | # meta-analysis of event outcome in the framework of the generalized linear 8 | # mixed model with applications in sparse data. Statistics in Medicine, 9 | # 29(29), 3046-3067. 10 | 11 | dat.nielweise2008 <- read.table("data-raw/dat.nielweise2008.txt", header=TRUE, stringsAsFactors=FALSE) 12 | save(dat.nielweise2008, file="data/dat.nielweise2008.rda") 13 | -------------------------------------------------------------------------------- /data-raw/dat.nielweise2008.txt: -------------------------------------------------------------------------------- 1 | study authors year x1i t1i x2i t2i 2 | 1 "Bong et al." 2003 7 1344 11 1988 3 | 2 "Ciresi et al." 1996 8 1600 8 1461 4 | 3 "Hanna et al." 2004 3 12012 14 10962 5 | 4 "Harter et al." 2002 6 1536 10 1503 6 | 5 "Jaeger et al." 2001 1 370 1 483 7 | 6 "Jaeger et al." 2005 1 729 8 913 8 | 7 "Logghe et al." 1997 17 6760 15 6840 9 | 8 "Ostendorf et al." 2005 3 1107 7 1015 10 | 9 "Pemberton et al." 1996 2 320 3 440 11 | -------------------------------------------------------------------------------- /data-raw/dat.normand1999.r: -------------------------------------------------------------------------------- 1 | # Normand, S. T. (1999). Meta-analysis: Formulating, evaluating, combining, 2 | # and reporting. Statistics in Medicine, 18, 321-359. 3 | 4 | dat.normand1999 <- read.table("data-raw/dat.normand1999.txt", header=TRUE, stringsAsFactors=FALSE) 5 | save(dat.normand1999, file="data/dat.normand1999.rda") 6 | -------------------------------------------------------------------------------- /data-raw/dat.normand1999.txt: -------------------------------------------------------------------------------- 1 | study source n1i m1i sd1i n2i m2i sd2i 2 | 1 "Edinburgh" 155 55 47 156 75 64 3 | 2 "Orpington-Mild" 31 27 7 32 29 4 4 | 3 "Orpington-Moderate" 75 64 17 71 119 29 5 | 4 "Orpington-Severe" 18 66 20 18 137 48 6 | 5 "Montreal-Home" 8 14 8 13 18 11 7 | 6 "Montreal-Transfer" 57 19 7 52 18 4 8 | 7 "Newcastle" 34 52 45 33 41 34 9 | 8 "Umea" 110 21 16 183 31 27 10 | 9 "Uppsala" 60 30 27 52 23 20 11 | -------------------------------------------------------------------------------- /data-raw/dat.obrien2003.r: -------------------------------------------------------------------------------- 1 | # O'Brien, T. E., Ray, J. G., & Chan, W.-S. (2003). Maternal body mass index 2 | # and the risk of preeclampsia: A systematic overview. Epidemiology, 14(3), 3 | # 368-374. 4 | 5 | dat.obrien2003 <- read.table("data-raw/dat.obrien2003.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.obrien2003, file="data/dat.obrien2003.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.pagliaro1992.r: -------------------------------------------------------------------------------- 1 | # Pagliaro, L., D'Amico, G., Sörensen, T. I. A., Lebrec, D., Burroughs, A. K., 2 | # Morabito, A., Tiné, F., Politi, F., & Traina, M. (1992). Prevention of first 3 | # bleeding in cirrhosis: A meta-analysis of randomized trials of nonsurgical 4 | # treatment. Annals of Internal Medicine, 117(1), 59-70. 5 | 6 | # data from: Lu, G., & Ades, A. E. (2004). Combination of direct and indirect 7 | # evidence in mixed treatment comparisons. Statistics in Medicine, 23(20), 8 | # 3105-3124. 9 | 10 | dat.pagliaro1992 <- read.table("data-raw/dat.pagliaro1992.txt", header=TRUE, stringsAsFactors=FALSE) 11 | save(dat.pagliaro1992, file="data/dat.pagliaro1992.rda") 12 | -------------------------------------------------------------------------------- /data-raw/dat.pagliaro1992.txt: -------------------------------------------------------------------------------- 1 | study trt xi ni 2 | 1 beta-blockers 2 43 3 | 1 sclerotherapy 9 42 4 | 1 control 13 41 5 | 2 beta-blockers 12 68 6 | 2 sclerotherapy 13 73 7 | 2 control 13 72 8 | 3 beta-blockers 4 20 9 | 3 control 4 16 10 | 4 beta-blockers 20 116 11 | 4 control 30 111 12 | 5 beta-blockers 1 30 13 | 5 control 11 49 14 | 6 beta-blockers 7 53 15 | 6 control 10 53 16 | 7 beta-blockers 18 85 17 | 7 control 31 89 18 | 8 beta-blockers 2 51 19 | 8 control 11 51 20 | 9 beta-blockers 8 23 21 | 9 control 2 25 22 | 10 sclerotherapy 4 18 23 | 10 control 0 19 24 | 11 sclerotherapy 3 35 25 | 11 control 22 36 26 | 12 sclerotherapy 5 56 27 | 12 control 30 53 28 | 13 sclerotherapy 5 16 29 | 13 control 6 18 30 | 14 sclerotherapy 3 23 31 | 14 control 9 22 32 | 15 sclerotherapy 11 49 33 | 15 control 31 46 34 | 16 sclerotherapy 19 53 35 | 16 control 9 60 36 | 17 sclerotherapy 17 53 37 | 17 control 26 60 38 | 18 sclerotherapy 10 71 39 | 18 control 29 69 40 | 19 sclerotherapy 12 41 41 | 19 control 14 41 42 | 20 sclerotherapy 0 21 43 | 20 control 3 20 44 | 21 sclerotherapy 13 33 45 | 21 control 14 35 46 | 22 sclerotherapy 31 143 47 | 22 control 23 138 48 | 23 sclerotherapy 20 55 49 | 23 control 19 51 50 | 24 sclerotherapy 3 13 51 | 24 control 12 16 52 | 25 sclerotherapy 3 21 53 | 25 control 5 28 54 | 26 sclerotherapy 6 22 55 | 26 control 2 24 56 | -------------------------------------------------------------------------------- /data-raw/dat.pignon2000.r: -------------------------------------------------------------------------------- 1 | # Pignon, J. P., Bourhis, J., Domenge, C., & Designe, L. (2000). Chemotherapy 2 | # added to locoregional treatment for head and neck squamous-cell carcinoma: 3 | # Three meta-analyses of updated individual data. Lancet, 355(9208), 949-955. 4 | 5 | # data cross-checked with: 6 | 7 | # Michiels, S., Baujat, B., Mahé, C., Sargent, D. J., & Pignon, J. P. (2005). 8 | # Random effects survival models gave a better understanding of heterogeneity 9 | # in individual patient data meta-analyses. Journal of Clinical Epidemiology, 10 | # 58(3), 238-245. 11 | 12 | # Baujat, B., Mahé, C., Pignon, J.-P., & Hill, C. (2002). A graphical method 13 | # for exploring heterogeneity in meta-analyses: Application to a meta-analysis 14 | # of 65 trials. Statistics in Medicine, 21(18), 2641-2652. 15 | 16 | dat.pignon2000 <- read.table("data-raw/dat.pignon2000.txt", header=TRUE, stringsAsFactors=FALSE) 17 | save(dat.pignon2000, file="data/dat.pignon2000.rda") 18 | -------------------------------------------------------------------------------- /data-raw/dat.pritz1997.r: -------------------------------------------------------------------------------- 1 | # Pritz, M. B. (1997). Treatment of cerebral vasospasm due to aneurysmal 2 | # subarachnoid hemorrhage: Past, present, and future of hyperdynamic therapy. 3 | # Neurosurgery Quarterly, 7, 273-285. 4 | 5 | # data from: Zhou, X.-H., Brizendine, E. J., & Pritz, M. B. (1999). Methods 6 | # for combining rates from several studies. Statistics in Medicine, 18, 7 | # 557-566. 8 | 9 | dat.pritz1997 <- read.table("data-raw/dat.pritz1997.txt", header=TRUE, stringsAsFactors=FALSE) 10 | save(dat.pritz1997, file="data/dat.pritz1997.rda") 11 | -------------------------------------------------------------------------------- /data-raw/dat.pritz1997.txt: -------------------------------------------------------------------------------- 1 | study authors xi ni 2 | 1 "Giannotta et al." 16 17 3 | 2 "Haraguchi and Ebina" 10 12 4 | 3 "Swift and Solomon" 4 8 5 | 4 "Kassell et al." 43 58 6 | 5 "Tanabe et al." 10 10 7 | 6 "Awad et al." 25 42 8 | 7 "Finn et al." 13 14 9 | 8 "Hadeishi et al." 12 12 10 | 9 "Otsubo et al." 22 41 11 | 10 "Muizelaar and Becker" 4 5 12 | 11 "Rosenstein et al." 5 6 13 | 12 "Levy et al." 18 23 14 | 13 "Shimoda et al." 58 68 15 | 14 "Solomon et al." 6 10 16 | -------------------------------------------------------------------------------- /data-raw/dat.raudenbush1985.r: -------------------------------------------------------------------------------- 1 | # Raudenbush, S. W., & Bryk, A. S. (1985). Empirical Bayes meta-analysis. 2 | # Journal of Educational Statistics, 10(2), 75-98. 3 | 4 | # Raudenbush, S. W. (1984). Magnitude of teacher expectancy effects on pupil 5 | # IQ as a function of the credibility of expectancy induction: A synthesis of 6 | # findings from 18 experiments. Journal of Educational Psychology, 76(1), 7 | # 85-97. 8 | 9 | suppressPackageStartupMessages(library(metafor, quietly=TRUE)) 10 | 11 | dat.raudenbush1985 <- read.table("data-raw/dat.raudenbush1985.txt", header=TRUE, stringsAsFactors=FALSE) 12 | dat.raudenbush1985$sei <- NULL 13 | dat.raudenbush1985 <- escalc(measure="SMD", yi=yi, vi=vi, ni=n1i+n2i, data=dat.raudenbush1985, digits=4) 14 | save(dat.raudenbush1985, file="data/dat.raudenbush1985.rda") 15 | -------------------------------------------------------------------------------- /data-raw/dat.riley2003.r: -------------------------------------------------------------------------------- 1 | # Riley, R. D., Burchill, S. A., Abrams, K. R., Heney, D., Lambert, P. C., 2 | # Jones, D. R., et al. (2003). A systematic review and evaluation of the use 3 | # of tumour markers in paediatric oncology: Ewing's sarcoma and neuroblastoma. 4 | # Health Technology Assessment, 7(5), 1-162. 5 | 6 | # actual data from: 7 | 8 | # Riley, R. D., Sutton, A. J., Abrams, K. R., & Lambert, P. C. (2004). 9 | # Sensitivity analyses allowed more appropriate and reliable meta-analysis 10 | # conclusions for multiple outcomes when missing data was present. Journal of 11 | # Clinical Epidemiology, 57(9), 911-924. 12 | 13 | # Riley, R. D., Abrams, K. R., Lambert, P. C., Sutton, A. J., & Thompson, J. 14 | # R. (2007). An evaluation of bivariate random-effects meta-analysis for the 15 | # joint synthesis of two correlated outcomes. Statistics in Medicine, 26(1), 16 | # 78-97. 17 | 18 | # with errata attached to second article (this is the actual data) 19 | 20 | suppressPackageStartupMessages(library(metafor, quietly=TRUE)) 21 | 22 | dat.riley2003 <- read.table("data-raw/dat.riley2003.txt", header=TRUE, stringsAsFactors=FALSE) 23 | dat.riley2003 <- escalc(measure="GEN", yi=yi, sei=sei, data=dat.riley2003, digits=2) 24 | dat.riley2003 <- dat.riley2003[c(1,2,5,3,4)] 25 | save(dat.riley2003, file="data/dat.riley2003.rda") 26 | -------------------------------------------------------------------------------- /data-raw/dat.roever2022.csv: -------------------------------------------------------------------------------- 1 | "study","year","dose","events","total" 2 | "Yamada",2003,100,0,3 3 | "Yamada",2003,125,0,3 4 | "Yamada",2003,150,1,6 5 | "Takiuchi",2005,40,1,6 6 | "Takiuchi",2005,60,0,3 7 | "Takiuchi",2005,80,0,4 8 | "Takiuchi",2005,100,3,6 9 | "Inokuchi",2006,70,0,3 10 | "Inokuchi",2006,80,10,42 11 | "Inokuchi",2006,90,0,3 12 | "Inokuchi",2006,100,2,3 13 | "Nakafusa",2008,60,7,39 14 | "Nakafusa",2008,80,2,3 15 | "Ishimoto",2009,50,0,3 16 | "Ishimoto",2009,60,0,3 17 | "Ishimoto",2009,70,0,3 18 | "Ishimoto",2009,80,2,4 19 | "Ogata",2009,40,0,3 20 | "Ogata",2009,50,0,3 21 | "Ogata",2009,60,3,4 22 | "Shiozawa",2009,80,1,6 23 | "Shiozawa",2009,100,2,6 24 | "Shiozawa",2009,120,2,6 25 | "Shiozawa",2009,150,2,3 26 | "Yoshioka",2009,100,0,3 27 | "Yoshioka",2009,125,1,6 28 | "Yoshioka",2009,150,0,3 29 | "Komatsu",2010,100,1,9 30 | "Komatsu",2010,125,1,9 31 | "Komatsu",2010,150,0,3 32 | "Kusaba",2010,80,0,6 33 | "Kusaba",2010,100,2,3 34 | "Yoda",2011,60,0,3 35 | "Yoda",2011,80,3,6 36 | "Goya",2012,70,0,3 37 | "Goya",2012,80,0,3 38 | "Goya",2012,90,3,5 39 | -------------------------------------------------------------------------------- /data-raw/dat.roever2022.r: -------------------------------------------------------------------------------- 1 | dat.roever2022 <- read.csv("data-raw/dat.roever2022.csv", colClasses=c("character","integer","numeric","integer","integer")) 2 | save("dat.roever2022", file="data/dat.roever2022.rda") 3 | -------------------------------------------------------------------------------- /data-raw/dat.senn2013.r: -------------------------------------------------------------------------------- 1 | # Senn, S., Gavini, F., Magrez, D., & Scheen, A. (2013). Issues in performing 2 | # a network meta-analysis. Statistical Methods in Medical Research, 22(2), 3 | # 169-189. 4 | 5 | dat.senn2013 <- read.table("data-raw/dat.senn2013.txt", header=TRUE, stringsAsFactors=FALSE, sep=",") 6 | save(dat.senn2013, file="data/dat.senn2013.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.spooner2002.csv: -------------------------------------------------------------------------------- 1 | "author","year","Ne","Me","Se","Nc","Mc","Sc","agegroup" 2 | "Boner","1988",13,13.54,13.85,13,20.77,21.46,"Children" 3 | "Novembre","1994f",24,15.42,8.35,24,28.46,13.84,"Children" 4 | "DeBenedictis","1994b",8,14.8,18.6,8,31.4,20.6,"Children" 5 | "Novembre","1994s",19,11,12.4,19,26.1,14.9,"Children" 6 | "DeBenedictis","1994a",17,14.4,11.1,17,27.4,17.3,"Children" 7 | "DeBenedictis","1995",13,15.7,16.8,13,29.6,18.9,"Children" 8 | "Boner","1989",20,15.7,13.1,20,22.7,16.47,"Children" 9 | "Henriksen","1988",12,17.5,13.1,12,47.2,16.47,"Children" 10 | "Chudry","1987",12,21.3,13.1,12,39.7,12.9,"Children" 11 | "Comis","1993",12,14.5,12.2,12,31.3,15.1,"Children" 12 | "Debelic","1986",12,29.83,15.95,12,48.08,15.08,"Children" 13 | "Morton","1992",16,15.83,13.43,16,38.36,18.01,"Adults" 14 | "Shaw","1985",8,10.27,7.02,8,34.43,10.96,"Adults" 15 | "Konig","1987",12,12,14.6,12,26.2,12.3,"Adults" 16 | "Todaro","1993",13,10.1,8.9,13,23.5,4,"Adults" 17 | "Roberts","1985",9,18.9,17.7,9,38.9,18.9,"Adults" 18 | "Oseid","1995",20,14.1,9.5,20,28.9,18,"Adults" 19 | -------------------------------------------------------------------------------- /data-raw/dat.spooner2002.r: -------------------------------------------------------------------------------- 1 | # Spooner C, Saunders LD, Rowe BH (2002). Nedocromil sodium for preventing 2 | # exercise‐induced bronchoconstriction. Cochrane Database of Systematic 3 | # Reviews, CD001183. 4 | 5 | dat.spooner2002 <- read.csv("data-raw/dat.spooner2002.csv") 6 | dat.spooner2002$agegroup <- factor(dat.spooner2002$agegroup, levels = c("Children", "Adults")) 7 | save(dat.spooner2002, file = "data/dat.spooner2002.rda") 8 | -------------------------------------------------------------------------------- /data-raw/dat.stowe2010.r: -------------------------------------------------------------------------------- 1 | # Stowe R, Ives N, Clarke CE, Deane K, Hilten V, Wheatley K, et 2 | # al. (2010). 3 | # Evaluation of the efficacy and safety of adjuvant treatment to 4 | # levodopa therapy in Parkinson's disease patients with motor 5 | # complications. 6 | # Cochrane Database of Systematic Reviews. 7 | 8 | dat.stowe2010 <- read.csv("data-raw/dat.stowe2010.txt") 9 | save(dat.stowe2010, file="data/dat.stowe2010.rda") 10 | -------------------------------------------------------------------------------- /data-raw/dat.tannersmith2016.r: -------------------------------------------------------------------------------- 1 | # Tanner-Smith, E. E., Tipton, E. & Polanin, J. R. (2016). Handling complex 2 | # meta-analytic data structures using robust variance estimates: A tutorial in 3 | # R. Journal of Developmental and Life-Course Criminology, 2(1), 85-112. 4 | 5 | dat.tannersmith2016 <- read.table("data-raw/dat.tannersmith2016.txt", header=TRUE, stringsAsFactors=FALSE) 6 | 7 | save(dat.tannersmith2016, file="data/dat.tannersmith2016.rda", ascii=FALSE) 8 | -------------------------------------------------------------------------------- /data-raw/dat.ursino2021.csv: -------------------------------------------------------------------------------- 1 | "study","year","dose","events","total" 2 | "Awada",2005,100,0,4 3 | "Awada",2005,200,0,3 4 | "Awada",2005,300,1,5 5 | "Awada",2005,400,1,10 6 | "Awada",2005,600,7,12 7 | "Awada",2005,800,1,3 8 | "Clark",2005,100,0,3 9 | "Clark",2005,200,0,3 10 | "Clark",2005,400,1,4 11 | "Clark",2005,600,1,6 12 | "Clark",2005,800,3,3 13 | "Moore",2005,100,0,3 14 | "Moore",2005,200,1,6 15 | "Moore",2005,400,0,8 16 | "Moore",2005,600,3,7 17 | "Strumberg",2005,100,1,5 18 | "Strumberg",2005,200,1,6 19 | "Strumberg",2005,400,0,15 20 | "Strumberg",2005,600,4,14 21 | "Strumberg",2005,800,2,7 22 | "Furuse",2008,200,0,12 23 | "Furuse",2008,400,1,14 24 | "Minami",2008,100,0,3 25 | "Minami",2008,200,1,12 26 | "Minami",2008,400,0,6 27 | "Minami",2008,600,1,6 28 | "Miller",2009,200,8,34 29 | "Miller",2009,400,6,20 30 | "Crump-A",2010,100,0,4 31 | "Crump-A",2010,200,1,6 32 | "Crump-A",2010,300,0,6 33 | "Crump-A",2010,400,1,6 34 | "Crump-B",2010,100,0,3 35 | "Crump-B",2010,200,1,6 36 | "Crump-B",2010,400,0,3 37 | "Crump-B",2010,600,2,6 38 | "Borthakur-A",2011,200,0,3 39 | "Borthakur-A",2011,400,0,15 40 | "Borthakur-A",2011,600,2,8 41 | "Borthakur-B",2011,200,0,3 42 | "Borthakur-B",2011,400,1,7 43 | "Borthakur-B",2011,600,2,6 44 | "Nabors",2011,200,0,3 45 | "Nabors",2011,400,1,6 46 | "Nabors",2011,600,0,3 47 | "Nabors",2011,800,1,5 48 | "Nabors",2011,1000,3,3 49 | "Chen",2014,200,0,3 50 | "Chen",2014,400,1,16 51 | -------------------------------------------------------------------------------- /data-raw/dat.ursino2021.r: -------------------------------------------------------------------------------- 1 | dat.ursino2021 <- read.csv("data-raw/dat.ursino2021.csv", colClasses=c("character","integer","numeric","integer","integer")) 2 | save("dat.ursino2021", file="data/dat.ursino2021.rda") 3 | -------------------------------------------------------------------------------- /data-raw/dat.vanhowe1999.r: -------------------------------------------------------------------------------- 1 | # Van Howe, R. S. (1999). Circumcision and HIV infection: Review of the 2 | # literature and meta-analysis. International Journal of STD & AIDS, 10(1), 3 | # 8-16. 4 | 5 | dat.vanhowe1999 <- read.table("data-raw/dat.vanhowe1999.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.vanhowe1999, file="data/dat.vanhowe1999.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.vanhowe1999.txt: -------------------------------------------------------------------------------- 1 | study category non.pos non.neg cir.pos cir.neg 2 | "Bwayo 1" "high-risk group" 92 86 160 612 3 | "Bwayo 2" "high-risk group" 22 46 37 200 4 | "Kreiss" "high-risk group" 59 18 254 168 5 | "Hira" "high-risk group" 418 172 10 10 6 | "Cameron" "high-risk group" 18 61 6 208 7 | "Pepin" "high-risk group" 5 42 13 243 8 | "Greenblatt" "high-risk group" 11 28 8 68 9 | "Diallo" "high-risk group" 38 46 212 873 10 | "Simonsen" "high-risk group" 17 70 21 232 11 | "Tyndall" "high-risk group" 85 93 105 527 12 | "Nasio" "high-risk group" 86 78 137 580 13 | "Mehendal" "high-risk group" 837 3411 38 253 14 | "Bollinger" "high-risk group" 50 241 1 14 15 | "Chiasson" "high-risk group" 36 797 14 542 16 | "Sassan" "high-risk group" 75 18 415 221 17 | "Hunter" "partner study" 43 330 165 3765 18 | "Carael" "partner study" 90 105 34 45 19 | "Chao" "partner study" 442 4844 75 232 20 | "Moss" "partner study" 24 16 12 17 21 | "Allen" "partner study" 275 612 132 324 22 | "Sedlin" "partner study" 32 26 33 40 23 | "Konde-Luc" "partner study" 153 1516 6 127 24 | "Barongo" "population survey" 55 1356 42 642 25 | "Grosskurth" "population survey" 158 4604 61 1026 26 | "Van de Perre" "population survey" 46 224 6 26 27 | "Seed" "population survey" 171 422 51 192 28 | "Malamba" "population survey" 111 114 21 47 29 | "Quigley" "population survey" 101 272 48 121 30 | "Urassa 1" "population survey" 56 1301 42 600 31 | "Urassa 2" "population survey" 105 2040 32 426 32 | "Urassa 3" "population survey" 38 309 19 158 33 | "Urassa 4" "population survey" 112 716 54 692 34 | "Urassa 5" "population survey" 101 365 48 136 35 | -------------------------------------------------------------------------------- /data-raw/dat.viechtbauer2021.r: -------------------------------------------------------------------------------- 1 | # Viechtbauer, W. (2021). Model checking in meta-analysis. In C. H. Schmid, T. 2 | # Stijnen, & I. R. White (Eds.), Handbook of meta-analysis (pp. 219-254). Boca 3 | # Raton, FL: CRC Press. 4 | 5 | dat.viechtbauer2021 <- read.table("data-raw/dat.viechtbauer2021.txt", header=TRUE, stringsAsFactors=FALSE) 6 | save(dat.viechtbauer2021, file="data/dat.viechtbauer2021.rda") 7 | -------------------------------------------------------------------------------- /data-raw/dat.viechtbauer2021.txt: -------------------------------------------------------------------------------- 1 | trial nTi nCi xTi xCi dose 2 | 1 66 59 42 24 100 3 | 2 59 65 42 34 200 4 | 3 253 257 96 32 250 5 | 4 137 144 51 44 125 6 | 5 327 326 47 39 50 7 | 6 584 588 38 87 25 8 | 7 526 532 390 323 125 9 | 8 28 30 10 3 125 10 | 9 191 201 165 126 125 11 | 10 86 94 58 39 150 12 | 11 229 221 72 60 100 13 | 12 153 144 79 56 150 14 | 13 93 95 48 35 200 15 | 14 40 40 8 4 25 16 | 15 85 88 44 21 175 17 | 16 100 107 10 13 25 18 | 17 72 64 11 9 25 19 | 18 80 74 47 23 200 20 | 19 191 195 144 116 100 21 | 20 85 85 48 49 75 22 | -------------------------------------------------------------------------------- /data-raw/dat.white2020.r: -------------------------------------------------------------------------------- 1 | # Load 2 | dat.white2020 <- read.csv("data-raw/dat.white2020.csv", header=TRUE, stringsAsFactors=FALSE) 3 | 4 | # Output 5 | save(dat.white2020, file="data/dat.white2020.rda", ascii=FALSE) 6 | -------------------------------------------------------------------------------- /data-raw/dat.woods2010.r: -------------------------------------------------------------------------------- 1 | # Woods BS, Hawkins N, Scott DA (2010). 2 | # Network meta-analysis on the log-hazard scale, combining count and 3 | # hazard ratio statistics accounting for multi-arm trials: A 4 | # tutorial. 5 | # BMC Medical Research Methodology, 10, 54. 6 | 7 | dat.woods2010 <- read.csv("data-raw/dat.woods2010.txt") 8 | save(dat.woods2010, file="data/dat.woods2010.rda") 9 | -------------------------------------------------------------------------------- /data-raw/dat.woods2010.txt: -------------------------------------------------------------------------------- 1 | "author","treatment","r","N" 2 | "Boyd 1997","Salmeterol",1,229 3 | "Boyd 1997","Placebo",1,227 4 | "Calverly 2003","Fluticasone",4,374 5 | "Calverly 2003","Salmeterol",3,372 6 | "Calverly 2003","SFC",2,358 7 | "Calverly 2003","Placebo",7,361 8 | "Celli 2003","Salmeterol",1,554 9 | "Celli 2003","Placebo",2,270 10 | -------------------------------------------------------------------------------- /data-raw/dat.yusuf1985.r: -------------------------------------------------------------------------------- 1 | # Yusuf, S., Peto, R., Lewis, J., Collins, R., & Sleight, P. (1985). Beta 2 | # blockade during and after myocardial infarction: An overview of the 3 | # randomized trials. Progress in Cardiovascular Disease, 27(5), 335-371. 4 | 5 | dat.yusuf1985 <- read.table("data-raw/dat.yusuf1985.txt", header=TRUE, as.is=TRUE, colClasses=c(id="character")) 6 | save(dat.yusuf1985, file="data/dat.yusuf1985.rda") 7 | -------------------------------------------------------------------------------- /data/dat.aloe2013.rda: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/data/dat.aloe2013.rda -------------------------------------------------------------------------------- /data/dat.anand1999.rda: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/data/dat.anand1999.rda -------------------------------------------------------------------------------- /data/dat.assink2016.rda: 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https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/inst/help.rdata -------------------------------------------------------------------------------- /man/prep_dat.Rd: -------------------------------------------------------------------------------- 1 | \name{prep_dat} 2 | \alias{prep_dat} 3 | \title{Data preparation function} 4 | \description{Function to run data processing scripts.} 5 | \usage{ 6 | prep_dat(rebuild=FALSE, overwrite, pkgdir) 7 | } 8 | \arguments{ 9 | \item{rebuild}{logical indicating whether the entire database should be rebuild (default is \code{FALSE}).} 10 | \item{overwrite}{character vector with one or more \code{.Rd} filenames to overwrite (if they already exist). The default is to never overwrite any existing \code{.Rd} files.} 11 | \item{pkgdir}{character string specifying the root directory of the source package (if unspecified, the current working directory is assumed to be the package root directory).} 12 | } 13 | \details{ 14 | The function is only for used for processing new datasets for inclusion in the package. It should be used as described on the \pkg{\link{metadat-package}} help page. 15 | } 16 | \author{ 17 | Wolfgang Viechtbauer, \email{wvb@metafor-project.org} 18 | } 19 | \keyword{file} 20 | \keyword{internal} 21 | -------------------------------------------------------------------------------- /tests/testthat.R: -------------------------------------------------------------------------------- 1 | # to also run skip_on_cran() tests, uncomment: 2 | #Sys.setenv(NOT_CRAN="true") 3 | 4 | library(testthat) 5 | library(metadat) 6 | test_check("metadat", reporter="summary") 7 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.aloe2013.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.aloe2013") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.aloe2013, algo="md5"), "bbb5d1a536e791eba68780bb8822125a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.anand1999.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.anand1999") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.anand1999, algo="md5"), "83ef370cdbe1d5db37f1a3fd98676a80") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.assink2016.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.assink2016") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.assink2016, algo="md5"), "4b542f0f3e66323a547b58c57d488568") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.axfors2021.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.axfors2021") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.axfors2021, algo="md5"), "d7f19500e14f2b8a383cefac7791f43f") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bakdash2021.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bakdash2021") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bakdash2021, algo="md5"), "cb2b2109505430e49ded3586a3ba31a1") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.baker2009.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.baker2009") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.baker2009, algo="md5"), "80fe19afb3dca58ca7be09b65cb2de4f") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bangertdrowns2004.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bangertdrowns2004") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bangertdrowns2004, algo="md5"), "716b3c863ecc3fd61d6a9c076732f28c") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bartos2023.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bartos2023") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bartos2023, algo="md5"), "fe61d69f402cb3871713264daa903621") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.baskerville2012.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.baskerville2012") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.baskerville2012, algo="md5"), "fe6765cbaa93d7096aced942cdb5b32e") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bassler2004.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bassler2004") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bassler2004, algo="md5"), "b2602c6ffa358e30992b5de028bcc1ff") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bcg.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bcg") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bcg, algo="md5"), "a8df61024006ae1ce670b7ede5b29a9d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.begg1989.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.begg1989") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.begg1989, algo="md5"), "56f50ca9aa6581fd843bd1083725ccea") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.berkey1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.berkey1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.berkey1998, algo="md5"), "c94bd13f07a693a3c81b44903afad980") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.besson2016.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.besson2016") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.besson2016, algo="md5"), "37e9119b7f262598c930291ae0fac9af") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bonett2010.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bonett2010") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bonett2010, algo="md5"), "ddf3b996a39cc24f594d6c2419275c99") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bornmann2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bornmann2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bornmann2007, algo="md5"), "cd3be7c49eed994719c0f4b224e48f24") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.bourassa1996.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.bourassa1996") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.bourassa1996, algo="md5"), "ee1fd46dc621922f30596af07ab12e31") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.cannon2006.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.cannon2006") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.cannon2006, algo="md5"), "63a03f32e5f26afa8e0290b74d47655d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.cohen1981.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.cohen1981") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.cohen1981, algo="md5"), "c74ba5b65fb0347e4842ec32276d887a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.colditz1994.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.colditz1994") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.colditz1994, algo="md5"), "a8df61024006ae1ce670b7ede5b29a9d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.collins1985a.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.collins1985a") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.collins1985a, algo="md5"), "273f562fb6389816a296afd7fa89ab9c") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.collins1985b.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.collins1985b") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.collins1985b, algo="md5"), "a1c5ab9525f7ad9354793073bb106164") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.craft2003.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.craft2003") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.craft2003, algo="md5"), "0e314716e890ef8c3366d01c447e8992") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.crede2010.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.crede2010") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.crede2010, algo="md5"), "e41ba72533831f037300d67c501a09eb") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.crisafulli2020.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.crisafulli2020") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.crisafulli2020, algo="md5"), "fee9264067c19c6e53294e4c72eec7ef") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.curtin2002.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.curtin2002") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.curtin2002, algo="md5"), "3f6600770272aa68c2720dbfb78d0966") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.curtis1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.curtis1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.curtis1998, algo="md5"), "a6007ef1e665877559ca0d0e0315aa4c") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.dagostino1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.dagostino1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.dagostino1998, algo="md5"), "fa0804ed25a8d0d93f91d840a315162a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.damico2009.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.damico2009") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.damico2009, algo="md5"), "4b1d4adde9227dee3b31b0e109adb938") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.debruin2009.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.debruin2009") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.debruin2009, algo="md5"), "d290a731fc4232fbf2bfd54fabcf8732") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.dogliotti2014.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.dogliotti2014") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.dogliotti2014, algo="md5"), "8dde5871843a3ed7c62c54ae84474234") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.dong2013.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.dong2013") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.dong2013, algo="md5"), "e94d834a5af363dfb336bf642f790957") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.dorn2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.dorn2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.dorn2007, algo="md5"), "1cd82454da033a25ba5d831b1626dff5") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.dumouchel1994.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.dumouchel1994") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.dumouchel1994, algo="md5"), "da9f347c3df75b8fe0c75f8e3030ad16") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.egger2001.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.egger2001") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.egger2001, algo="md5"), "390720b458d2f33ffa043578d6b30654") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.fine1993.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.fine1993") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.fine1993, algo="md5"), "34a037b6745cf6b6e9afd6bb2aed7007") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.franchini2012.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.franchini2012") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.franchini2012, algo="md5"), "032fe3c5d34b4479f354fffc0dafe72f") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.frank2008.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.frank2008") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.frank2008, algo="md5"), "e0ac95d1768ec2fbd61dd7907434cb7e") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.furukawa2003.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.furukawa2003") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.furukawa2003, algo="md5"), "e9f22be16a3dfd4832663ede1fe9d462") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.gibson2002.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.gibson2002") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.gibson2002, algo="md5"), "5629cee5d47e75d3add44dc91ac5e4ac") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.graves2010.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.graves2010") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.graves2010, algo="md5"), "3bff074ad3ea13da4c5e67f33265709d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.gurusamy2011.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.gurusamy2011") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.gurusamy2011, algo="md5"), "fafe3c72ffac20364548bca7a0cbe866") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hackshaw1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hackshaw1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hackshaw1998, algo="md5"), "40bf072f51b31ce8cfb0ca4272eddb84") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hahn2001.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hahn2001") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hahn2001, algo="md5"), "53da7f29fb9d9d3c73af596862c5a9a9") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hannum2020.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hannum2020") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hannum2020, algo="md5"), "e935f7ffa13d303a2b955700f07600ad") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hart1999.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hart1999") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hart1999, algo="md5"), "df7f6e390eede443380bb656e9262958") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hartmannboyce2018.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hartmannboyce2018") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hartmannboyce2018, algo="md5"), "5f8bbde96e75d8e8da450575a6b72f86") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hasselblad1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hasselblad1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hasselblad1998, algo="md5"), "40a55e4cef50d2bd0430de5163d19eb0") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.hine1989.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.hine1989") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.hine1989, algo="md5"), "237ad8966750f5a26cfb917b3365fcfc") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.ishak2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.ishak2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.ishak2007, algo="md5"), "59501e470f16259537abc9ed864cd6f1") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.kalaian1996.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.kalaian1996") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.kalaian1996, algo="md5"), "0f15c3094fef881f444ceeeaf54771a4") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.kearon1998.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.kearon1998") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.kearon1998, algo="md5"), "46bb5ea53ba8d6bb22d3cceb2f8429ac") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.knapp2017.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.knapp2017") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.knapp2017, algo="md5"), "0d866a1328248f8c6458c5127c443e02") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.konstantopoulos2011.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.konstantopoulos2011") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.konstantopoulos2011, algo="md5"), "ccc4a7cee29012013552e2dca1c634a4") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.landenberger2005.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.landenberger2005") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.landenberger2005, algo="md5"), "787f5762af4701c33cf1ca7548e54fea") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.laopaiboon2015.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.laopaiboon2015") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.laopaiboon2015, algo="md5"), "1260edb7d5c69d8bc0b507f16eaacd0c") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.lau1992.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.lau1992") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.lau1992, algo="md5"), "724e40152d092b1ba8793b20862fbb6a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.lee2004.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.lee2004") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.lee2004, algo="md5"), "3d79eee16145524fe53554e9c43109e4") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.lehmann2018.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.lehmann2018") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.lehmann2018, algo="md5"), "bfa52ac1cf59ef847c6badf23394298f") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.li2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.li2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.li2007, algo="md5"), "48172cc79e9a18e841fa23cb35d5b756") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.lim2014.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.lim2014") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data m_o_size", { 6 | expect_match(digest(metadat::dat.lim2014$m_o_size, algo="md5"), "47c9b90b4d399147238b3d001e8cc09b") 7 | }) 8 | 9 | test_that("md5 hash matches for the data m_o_fecundity", { 10 | expect_match(digest(metadat::dat.lim2014$m_o_fecundity, algo="md5"), "5cd73c511ca7a5993d74ea3a0b01e7a4") 11 | }) 12 | 13 | test_that("md5 hash matches for the data o_o_unadj", { 14 | expect_match(digest(metadat::dat.lim2014$o_o_unadj, algo="md5"), "281630552862a8351684c375ca2f237c") 15 | }) 16 | 17 | test_that("md5 hash matches for the data o_o_adj", { 18 | expect_match(digest(metadat::dat.lim2014$o_o_adj, algo="md5"), "86870c289d85e1d914ae009bf9635529") 19 | }) 20 | 21 | test_that("md5 hash matches for the tree m_o_size_tree", { 22 | expect_match(digest(metadat::dat.lim2014$m_o_size_tree, algo="md5"), "a0d9c3c1381669abb23710059752cd18") 23 | }) 24 | 25 | test_that("md5 hash matches for the tree m_o_fecundity_tree", { 26 | expect_match(digest(metadat::dat.lim2014$m_o_fecundity_tree, algo="md5"), "553fb55660b195c5f319c147585e816e") 27 | }) 28 | 29 | test_that("md5 hash matches for the tree o_o_unadj_tree", { 30 | expect_match(digest(metadat::dat.lim2014$o_o_unadj_tree, algo="md5"), "d4006f261ce75e7cb397b1fdefe7f7c6") 31 | }) 32 | 33 | test_that("md5 hash matches for the tree o_o_adj_tree", { 34 | expect_match(digest(metadat::dat.lim2014$o_o_adj_tree, algo="md5"), "ea8b3394bef1ea32001e903b987ded89") 35 | }) 36 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.linde2005.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.linde2005") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.linde2005, algo="md5"), "819177a7eb640f4f89b23ba11f892a5d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.linde2015.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.linde2015") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.linde2015, algo="md5"), "003effb9075e234e4c1b7e641c85ace9") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.linde2016.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.linde2016") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.linde2016, algo="md5"), "33020cfa2aed4478bac3364b0dd3a9dd") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.lopez2019.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.lopez2019") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.lopez2019, algo="md5"), "7c4e427c79baa8549fb3c46a1aff7265") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.maire2019.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.maire2019") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.maire2019$dat, algo="md5"), "a1bea482e3f89fad844e08b7b3d3d987") 7 | }) 8 | 9 | test_that("md5 hash matches for the distance matrix", { 10 | expect_match(digest(metadat::dat.maire2019$dmat, algo="md5"), "bc75d00397a71dc2c7a7e1c5f88f7e79") 11 | }) 12 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.mccurdy2020.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.mccurdy2020") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.mccurdy2020, algo="md5"), "f3590f669053d881ac7b32fbc378229a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.mcdaniel1994.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.mcdaniel1994") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.mcdaniel1994, algo="md5"), "6d9c49bc2437cd8f5cc63c38d0bc917d") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.michael2013.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.michael2013") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.michael2013, algo="md5"), "ff2a9079b413579d2246e0543c7f0541") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.molloy2014.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.molloy2014") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.molloy2014, algo="md5"), "289c001827c4d4104b2c02bd71334469") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.moura2021.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.moura2021") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.moura2021$dat, algo="md5"), "313e588a5e1d08ee541260392beb9ae3") 7 | }) 8 | 9 | test_that("md5 hash matches for the tree", { 10 | expect_match(digest(metadat::dat.moura2021$tree, algo="md5"), "78b3738727e054b2212cd16ebf1d5c6a") 11 | }) 12 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.nakagawa2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.nakagawa2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.nakagawa2007, algo="md5"), "aef00ca12dac2cd7c27d7a8f7692ba62") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.nielweise2007.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.nielweise2007") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.nielweise2007, algo="md5"), "05e2f281b42f16fb6be456f62b625f82") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.nielweise2008.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.nielweise2008") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.nielweise2008, algo="md5"), "f7e4d793597dadf2d314545af7555d73") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.normand1999.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.normand1999") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.normand1999, algo="md5"), "35ddafb737cfa2d73816e9d4c5c8dd76") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.obrien2003.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.obrien2003") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.obrien2003, algo="md5"), "f46831024c5e7c0ca64607327fa1987e") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.pagliaro1992.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.pagliaro1992") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.pagliaro1992, algo="md5"), "7560844add63d1c6c7b44847b05da7aa") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.pignon2000.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.pignon2000") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.pignon2000, algo="md5"), "50b607c84d1ac4cdf03ce4cbcc7a7e20") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.pritz1997.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.pritz1997") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.pritz1997, algo="md5"), "d404c9d72e033e67105c0f1bee3a20fc") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.raudenbush1985.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.raudenbush1985") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.raudenbush1985, algo="md5"), "61c451c67c7fc82375305c017c6f524a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.riley2003.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.riley2003") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.riley2003, algo="md5"), "606d5e3307678b0b8b57b0a833f4d184") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.roever2022.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.roever2022") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.roever2022, algo="md5"), "1409e1999fa055ff3728478033bd5da2") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.senn2013.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.senn2013") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.senn2013, algo="md5"), "b845a2bc3436efff179e8c34cb99602a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.spooner2002.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.spooner2002") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.spooner2002, algo="md5"), "d35bdc852b7c6204236240f217046470") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.stowe2010.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.stowe2010") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.stowe2010, algo="md5"), "2191ce23321ec455c23daf088e09bea0") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.tannersmith2016.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.tannersmith2016") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.tannersmith2016, algo="md5"), "bda45667a6c6b6e7c24c5abfc91590de") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.ursino2021.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.ursino2021") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.ursino2021, algo="md5"), "b9c5821c858a7d8a5501822a3873c998") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.vanhowe1999.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.vanhowe1999") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.vanhowe1999, algo="md5"), "3300d41b67fb79766dbb1e8fff7e50b0") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.viechtbauer2021.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.viechtbauer2021") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.viechtbauer2021, algo="md5"), "2dd6203150534b3bd62dba7a329ffdf4") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.white2020.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.white2020") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.white2020, algo="md5"), "290a7ba0476ec60c726604ec04c8d437") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.woods2010.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.woods2010") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.woods2010, algo="md5"), "7159dcbf42d9bc82d53959b6fd2d8b9a") 7 | }) 8 | -------------------------------------------------------------------------------- /tests/testthat/test_dat.yusuf1985.r: -------------------------------------------------------------------------------- 1 | context("Checking: dat.yusuf1985") 2 | 3 | library(digest) 4 | 5 | test_that("md5 hash matches for the data", { 6 | expect_match(digest(metadat::dat.yusuf1985, algo="md5"), "1204e1dd2a90ae553308cfcbe0dfb5fd") 7 | }) 8 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.barone2019.r: -------------------------------------------------------------------------------- 1 | # Load 2 | # This csv file was downloaded from https://osf.io/re8uj/?view_only=d2605771dd664831a104318db9ff7aa9 on Sept 13, 2019 3 | dat.barone2019 <- read.csv("data-raw/dat.barone2019.csv", header=TRUE, sep=";", stringsAsFactors=FALSE) 4 | 5 | # Output 6 | save(dat.barone2019, file="data/dat.barone2019.rda", ascii=FALSE) 7 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.cleasby2012.r: -------------------------------------------------------------------------------- 1 | dat.cleasby2012.1 <- read.csv("data-raw/dat.cleasby2012.1.csv") 2 | 3 | save(dat.cleasby2012.1, file="data/dat.cleasby2012.1.rda", ascii=FALSE) 4 | 5 | dat.cleasby2012.2 <- read.csv("data-raw/dat.cleasby2012.2.csv") 6 | 7 | save(dat.cleasby2012.2, file="data/dat.cleasby2012.2.rda", ascii=FALSE) 8 | 9 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.english2016.r: -------------------------------------------------------------------------------- 1 | dat.english2016.1<- read.csv("data-raw/dat.english2016.1.csv", stringsAsFactors = FALSE) 2 | names(dat.english2016.1)[17]<-"yi" 3 | names(dat.english2016.1)[18]<-"vi" 4 | dat.english2016.1<-dat.english2016.1[,-c(12, 13)] 5 | save(dat.english2016.1, file="data/dat.english2016.1.rda", ascii=FALSE) 6 | dat.english2016.2<- read.csv("data-raw/dat.english2016.2.csv", stringsAsFactors = FALSE) 7 | dat.english2016.2<-dat.english2016.2[,-c(12, 14)] 8 | save(dat.english2016.2, file="data/dat.english2016.2.rda", ascii=FALSE) -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.griffith2006.r: -------------------------------------------------------------------------------- 1 | # Load 2 | dat.griffith2006 <- read.csv("data-raw/dat.griffith2006.csv", header=TRUE, stringsAsFactors=FALSE) 3 | 4 | # Output 5 | save(dat.griffith2006, file="data/dat.griffith2006.rda", ascii=FALSE) 6 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.ho2012.r: -------------------------------------------------------------------------------- 1 | dat.ho2012 <- read.table("data-raw/dat.ho2012.txt", header=TRUE, stringsAsFactors=FALSE) 2 | save(dat.ho2012, file="data/dat.ho2012.rda") -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.ho2012.txt: -------------------------------------------------------------------------------- 1 | "author" "yi" "sei" 2 | "1" "Devilly et al" -0.463 0.409 3 | "2" "Taylor et al" -0.385 0.377 4 | "3" "Jaberghadri" 0.075 0.506 5 | "4" "Rothbaum" 0.288 0.321 6 | "5" "Johnson & Lubin" 0.328 0.458 7 | "6" "Lee et al" 0.412 0.4 8 | "7" "Power et al" 0.493 0.292 9 | "8" "Ironson et al" 0.523 0.484 10 | "9" "Vaughan et al" 0.532 0.397 11 | "10" "Rogers et al" 1.178 0.712 12 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.nakagawa2015.1.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/to_be_added/data-raw/dat.nakagawa2015.1.csv -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.nakagawa2015.2.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/to_be_added/data-raw/dat.nakagawa2015.2.csv -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.nakagawa2015.3.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/to_be_added/data-raw/dat.nakagawa2015.3.csv -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.nakagawa2015.phy2.tre: -------------------------------------------------------------------------------- 1 | ((((((((Oryzomys_albigularis,Neotoma_floridana),((Myopus_schisticolor,((((((Microtus_townsendii,Microtus_pennsylvanicus),Microtus_breweri),Microtus_californicus),Microtus_montanus),(((Microtus_xanthognathus,Microtus_pinetorum),Microtus_oeconomus),Microtus_cabrerae)),(Microtus_ochrogaster,(Microtus_longicaudus,Microtus_miurus)))),((Clethrionomys_rutilus,Clethrionomys_gapperi),Clethrionomys_glareolus))),Hypogeomys_antimena),((Dipodomys_ordii,Dipodomys_ingens),Dipodomys_agilis)),(Ctenomys_australis,Heliophobius_argenteocinereus)),(Spermophilus_citellus,(Tamias_amoenus,(Tamias_senex,Tamias_siskiyou)))),(((((Macaca_mulatta,(Presbytis_rubicunda,Trachypithecus_cristatus)),(((Gorilla_gorilla,(Homo_sapiens,Pan_troglodytes)),Pongo_pygmaeus),Hylobates_lar)),(Saguinus_oedipus,Saimiri_sciureus)),Tarsius_syrichta),(((Microcebus_murinus,Cheirogaleus_medius),((Varecia_variegata,((Eulemur_fulvus,Eulemur_macaco),Eulemur_mongoz)),Lemur_catta)),(Nycticebus_coucang,(Galago_moholi,(Otolemur_crassicaudatus,Otolemur_garnettii)))))),(((((Rupicapra_rupicapra,(Capreolus_capreolus,Ozotoceros_bezoarticus)),(((Stenella_attenuata,Tursiops_truncatus),Delphinus_delphis),Inia_geoffrensis)),((((((Martes_martes,(Lutra_lutra,Enhydra_lutris)),Procyon_lotor),Halichoerus_grypus),(Ursus_arctos,Ursus_maritimus)),Nyctereutes_procyonoides),Mungos_mungo)),(Cynopterus_sphinx,(((Rhinolophus_hipposideros,(Rhinolophus_blasii,(Rhinolophus_mehelyi,Rhinolophus_euryale))),Rhinolophus_ferrumequinum),((Noctilio_albiventris,(Pteronotus_parnellii,(Platalina_genovensium,(Glossophaga_leachii,Glossophaga_morenoi)))),((Myotis_daubentoni,Myotis_lucifugus),Myotis_evotis))))),Galemys_pyrenaicus)); 2 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.reed2001.r: -------------------------------------------------------------------------------- 1 | dat.reed2001 <- read.csv("data-raw/dat.reed2001.csv", stringsAsFactors=FALSE) 2 | save(dat.reed2001, file="data/dat.reed2001.rda") 3 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.sala2019.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/to_be_added/data-raw/dat.sala2019.csv -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.sala2019.r: -------------------------------------------------------------------------------- 1 | # Load 2 | # This csv file was generated from an excel file which was downloaded from https://osf.io/h9sjk/ on Jan 15, 2020 3 | # Paper and link to the data can be found here https://www.collabra.org/articles/10.1525/collabra.203/#additional-files 4 | dat.sala2019 <- read.csv("data-raw/dat.sala2019.csv", header=TRUE, stringsAsFactors=FALSE) 5 | 6 | # Output 7 | save(dat.sala2019, file="data/dat.sala2019.rda", ascii=FALSE) 8 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.sorokowski2019.r: -------------------------------------------------------------------------------- 1 | dat.sorokowski2019.1<-read.csv("data-raw/dat.sorokowski2019.1.csv", stringsAsFactors = FALSE) 2 | dat.sorokowski2019.2<-read.csv("data-raw/dat.sorokowski2019.2.csv", stringsAsFactors = FALSE) 3 | 4 | save(dat.sorokowski2019.1, file="data/dat.sorokowski2019.1.rda", ascii=FALSE) 5 | save(dat.sorokowski2019.2, file="data/dat.sorokowski2019.2.rda", ascii=FALSE) -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.tamim2011.csv: -------------------------------------------------------------------------------- 1 | "author","year","k","type","yi","sei","n_overlap","percent_overlap" 2 | "Bangert_Drowns",1993,19,NA,0.27,0.11,1,5.3 3 | "Bayraktar",2000,42,"d",0.27,0.05,7,16.7 4 | "Blok",2002,25,"g",0.25,0.06,2,8 5 | "Christmann",2000,16,NA,0.13,0.05,4,25 6 | "Fletcher_Flinn",1995,120,"glass",0.24,0.05,26,21.7 7 | "Goldberg",2003,15,"g",0.41,0.07,1,6.7 8 | "Hsu",2003,25,"glass",0.43,0.03,4,16 9 | "Koufogiannakis",2006,8,"g",-0.09,0.19,1,12.5 10 | "Kuchler",1998,65,"g",0.44,0.05,7,10.8 11 | "Kulic",1991,239,"glass",0.3,0.03,8,3.3 12 | "Liao",1998,31,"glass",0.48,0.05,2,6.4 13 | "Liao",2005,21,"glass",0.52,0.05,2,9.5 14 | "Liao",2007,52,"glass",0.55,0.05,2,3.8 15 | "Michko",2007,45,"g",0.43,0.07,0,0 16 | "Onuoha",2007,35,"d",0.26,0.04,3,8.6 17 | "Pearson",2005,20,"g",0.49,0.11,2,10 18 | "Roblyer",1988,35,"g",0.31,0.05,4,11.4 19 | "Rosen",2007,31,"g",0.46,0.05,0,0 20 | "Schenker",2007,46,"d",0.24,0.02,9,19.6 21 | "Soe",2000,17,"g",0.26,0.05,2,11.8 22 | "Timmerman",2006,114,"d",0.24,0.03,27,23.7 23 | "Torgerson",2002,5,"d",0.37,0.16,0,0 24 | "Waxman",2003,42,"glass",0.45,0.14,5,11.9 25 | "Yaakub",1998,20,"glass",0.35,0.05,4,20 26 | "Zhao",2003,9,"g",1.12,0.26,1,11.1 27 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.tamim2011.r: -------------------------------------------------------------------------------- 1 | dat.tamim2011<-read.csv("data-raw/dat.tamim2011.csv", stringsAsFactors = FALSE) 2 | save(dat.tamim2011, file="data/dat.tamim2011.rda", ascii=FALSE) -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.valstad2017.r: -------------------------------------------------------------------------------- 1 | dat.valstad2017 <- read.csv("data-raw/dat.valstad2017.csv", header=TRUE, stringsAsFactors=FALSE) 2 | 3 | dat.valstad2017$id <- dat.valstad2017$X 4 | dat.valstad2017$X <- NULL 5 | dat.valstad2017$es.id <- NULL 6 | 7 | dat.valstad2017 <- dat.valstad2017[,c(12, 1:11)] 8 | 9 | save(dat.valstad2017, file="data/dat.valstad2017.rda", ascii=FALSE) 10 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.weaver2018.r: -------------------------------------------------------------------------------- 1 | # Load 2 | dat.weaver2018 <- read.csv("data-raw/dat.weaver2018.csv", header=TRUE, stringsAsFactors=FALSE) 3 | 4 | # Remove whitespace and convert to lowercase 5 | dat.weaver2018$author <- tolower(gsub(" ", "_", dat.weaver2018$author)) 6 | dat.weaver2018$history_trait <- tolower(gsub(" ", "_", dat.weaver2018$history_trait)) 7 | dat.weaver2018$species <- tolower(gsub(" ", "_", dat.weaver2018$species)) 8 | dat.weaver2018$color <- tolower(gsub(" ", "_", dat.weaver2018$color)) 9 | dat.weaver2018$category <- tolower(gsub(" ", "_", dat.weaver2018$category)) 10 | dat.weaver2018$animal <- tolower(gsub(" ", "_", dat.weaver2018$animal)) 11 | dat.weaver2018$col_variable <- tolower(gsub(" ", "_", dat.weaver2018$col_variable)) 12 | 13 | # Rename effect sizes and variance 14 | names(dat.weaver2018)[names(dat.weaver2018) == "z_trans"] <- "yi" 15 | names(dat.weaver2018)[names(dat.weaver2018) == "var"] <- "vi" 16 | 17 | # Drop id column 18 | dat.weaver2018[ , !(names(dat.weaver2018) %in% 'id')] 19 | 20 | # Output 21 | save(dat.weaver2018, file="data/dat.weaver2018.rda", ascii=FALSE) 22 | -------------------------------------------------------------------------------- /to_be_added/data-raw/dat.xia2008.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wviechtb/metadat/fbc54ddac889fa31add9371e83656a98126f0306/to_be_added/data-raw/dat.xia2008.csv -------------------------------------------------------------------------------- /to_be_added/man/dat.ho2012.Rd: -------------------------------------------------------------------------------- 1 | \name{dat.ho2012} 2 | \docType{data} 3 | \alias{dat.ho2012} 4 | \title{Studies on the Efficacy Eye Movement Desensitization and reprocessing (EMDR) and Exposure Based Cognitive Behaviour Therapy (CBT) for Treating Post-Traumatic Stress Disorder (PTSD)} 5 | \description{Results from 10 studies on the efficacy of EMDR versus CBT for treating PTSD.} 6 | \usage{dat.ho2012} 7 | \format{The data frame contains the following columns: 8 | \tabular{lll}{ 9 | \bold{author} \tab \code{character} \tab study authors \cr 10 | \bold{yi} \tab \code{numeric} \tab Hedges' \emph{g} standardized mean difference \cr 11 | \bold{sei} \tab \code{numeric} \tab standard error of Hedges' \emph{g} standardized mean difference 12 | } 13 | } 14 | \details{ 15 | The difference between EMDR and exposure-based CBT are indicated by the Hedges' \emph{g} effect sizes. These data are in Figure 1 of Ho and Lee (2012). 16 | } 17 | \source{ 18 | Ho M. S. K. & Lee C. W. (2012). Cognitive behaviour therapy versus eye movement desensitization and reprocessing for post-traumatic disorder-is it all in the homework then?. \emph{European Review of Applied Psychology}, \bold{62}, 253--260. 19 | } 20 | \author{Robbie C.M. van Aert, \email{R.C.M.vanAert@tilburguniversity.edu}} 21 | \examples{ 22 | if (require(metafor)) { 23 | 24 | ### copy data into 'dat' and examine data 25 | dat <- dat.ho2012 26 | dat 27 | 28 | ### random-effects model 29 | rma(yi = yi, sei = sei, data = dat) 30 | 31 | } 32 | } 33 | \keyword{datasets} 34 | \concept{psychology} 35 | --------------------------------------------------------------------------------