├── .gitignore ├── .nojekyll ├── 01-C1.Rmd ├── 02-C2.Rmd ├── 03-C3.Rmd ├── 04-C4.Rmd ├── 05-C5.Rmd ├── 06-Visualizing.Rmd ├── 07-C7.Rmd ├── 08-C8.Rmd ├── 09-C9.Rmd ├── DESCRIPTION ├── LICENSE ├── MyLibrary.bib ├── Programming.png ├── ProgrammingTest.md ├── ProgrammingTextbook.Rproj ├── Programming_Crump.pdf ├── README.md ├── RFiles ├── .Rhistory ├── 2x2Factorial_Between.txt ├── 2x2Factorial_Within.txt ├── DetectionData.txt ├── PsychopyStroop.csv ├── SimpleDetection.R ├── SingleFactor_Between.txt ├── SingleFactor_Within.txt ├── Subject1.csv ├── Subject2.csv ├── Subject3.csv ├── Subject4.csv ├── Subject5.csv ├── Subject6.csv ├── Subject7.csv └── Subject8.csv ├── _bookdown.yml ├── _bookdown_files ├── Programming_Crump_files │ ├── figure-html │ │ ├── unnamed-chunk-109-1.png │ │ ├── unnamed-chunk-110-1.png │ │ ├── unnamed-chunk-111-1.png │ │ ├── unnamed-chunk-112-1.png │ │ ├── unnamed-chunk-113-1.png │ │ ├── unnamed-chunk-114-1.png │ │ ├── unnamed-chunk-13-1.png │ │ ├── unnamed-chunk-135-1.png │ │ ├── unnamed-chunk-136-1.png │ │ ├── unnamed-chunk-137-1.png │ │ ├── unnamed-chunk-138-1.png │ │ ├── unnamed-chunk-14-1.png │ │ ├── unnamed-chunk-142-1.png │ │ ├── unnamed-chunk-143-1.png │ │ ├── unnamed-chunk-144-1.png │ │ ├── unnamed-chunk-145-1.png │ │ ├── unnamed-chunk-147-1.png │ │ ├── unnamed-chunk-148-1.png │ │ ├── unnamed-chunk-149-1.png │ │ ├── unnamed-chunk-15-1.png │ │ ├── unnamed-chunk-150-1.png │ │ ├── unnamed-chunk-154-1.png │ │ ├── unnamed-chunk-155-1.png │ │ ├── unnamed-chunk-156-1.png │ │ ├── unnamed-chunk-157-1.png │ │ ├── unnamed-chunk-16-1.png │ │ ├── unnamed-chunk-161-1.png │ │ ├── unnamed-chunk-162-1.png │ │ ├── unnamed-chunk-163-1.png │ │ ├── unnamed-chunk-4-1.png │ │ ├── unnamed-chunk-49-1.png │ │ ├── unnamed-chunk-5-1.png │ │ ├── unnamed-chunk-50-1.png │ │ ├── unnamed-chunk-51-1.png │ │ ├── unnamed-chunk-52-1.png │ │ ├── unnamed-chunk-53-1.png │ │ ├── unnamed-chunk-54-1.png │ │ ├── unnamed-chunk-58-1.png │ │ ├── unnamed-chunk-59-1.png │ │ ├── unnamed-chunk-60-1.png │ │ ├── unnamed-chunk-61-1.png │ │ ├── unnamed-chunk-62-1.png │ │ ├── unnamed-chunk-64-1.png │ │ ├── unnamed-chunk-65-1.png │ │ ├── unnamed-chunk-7-1.png │ │ └── unnamed-chunk-8-1.png │ └── figure-latex │ │ ├── unnamed-chunk-137-1.pdf │ │ ├── unnamed-chunk-138-1.pdf │ │ ├── unnamed-chunk-149-1.pdf │ │ ├── unnamed-chunk-150-1.pdf │ │ ├── unnamed-chunk-156-1.pdf │ │ ├── unnamed-chunk-49-1.pdf │ │ ├── unnamed-chunk-50-1.pdf │ │ ├── unnamed-chunk-52-1.pdf │ │ ├── unnamed-chunk-53-1.pdf │ │ ├── unnamed-chunk-58-1.pdf │ │ ├── unnamed-chunk-59-1.pdf │ │ ├── unnamed-chunk-60-1.pdf │ │ └── unnamed-chunk-61-1.pdf └── bookdown-demo_files │ └── figure-html │ ├── unnamed-chunk-135-1.png │ ├── unnamed-chunk-136-1.png │ ├── unnamed-chunk-147-1.png │ ├── unnamed-chunk-148-1.png │ ├── unnamed-chunk-154-1.png │ ├── unnamed-chunk-49-1.png │ ├── unnamed-chunk-50-1.png │ ├── unnamed-chunk-52-1.png │ ├── unnamed-chunk-53-1.png │ ├── unnamed-chunk-58-1.png │ ├── unnamed-chunk-59-1.png │ ├── unnamed-chunk-60-1.png │ └── unnamed-chunk-61-1.png ├── _build.sh ├── _deploy.sh ├── _output.yml ├── book.bib ├── css ├── plugin-bookdown.css ├── plugin-fontsettings.css ├── plugin-highlight.css ├── plugin-search.css └── style.css ├── docs ├── .nojekyll ├── Programming.png ├── Programming_Crump.pdf ├── Programming_Crump_files │ └── figure-html │ │ ├── unnamed-chunk-109-1.png │ │ ├── unnamed-chunk-110-1.png │ │ ├── unnamed-chunk-111-1.png │ │ ├── unnamed-chunk-112-1.png │ │ ├── unnamed-chunk-113-1.png │ │ ├── unnamed-chunk-114-1.png │ │ ├── unnamed-chunk-13-1.png │ │ ├── unnamed-chunk-135-1.png │ │ ├── unnamed-chunk-136-1.png │ │ ├── unnamed-chunk-137-1.png │ │ ├── unnamed-chunk-138-1.png │ │ ├── unnamed-chunk-14-1.png │ │ ├── unnamed-chunk-142-1.png │ │ ├── unnamed-chunk-143-1.png │ │ ├── unnamed-chunk-144-1.png │ │ ├── unnamed-chunk-145-1.png │ │ ├── unnamed-chunk-147-1.png │ │ ├── unnamed-chunk-148-1.png │ │ ├── unnamed-chunk-149-1.png │ │ ├── unnamed-chunk-15-1.png │ │ ├── unnamed-chunk-150-1.png │ │ ├── unnamed-chunk-154-1.png │ │ ├── unnamed-chunk-155-1.png │ │ ├── unnamed-chunk-156-1.png │ │ ├── unnamed-chunk-157-1.png │ │ ├── unnamed-chunk-16-1.png │ │ ├── unnamed-chunk-161-1.png │ │ ├── unnamed-chunk-162-1.png │ │ ├── unnamed-chunk-163-1.png │ │ ├── unnamed-chunk-4-1.png │ │ ├── unnamed-chunk-49-1.png │ │ ├── unnamed-chunk-5-1.png │ │ ├── unnamed-chunk-50-1.png │ │ ├── unnamed-chunk-51-1.png │ │ ├── unnamed-chunk-52-1.png │ │ ├── unnamed-chunk-53-1.png │ │ ├── unnamed-chunk-54-1.png │ │ ├── unnamed-chunk-58-1.png │ │ ├── unnamed-chunk-59-1.png │ │ ├── unnamed-chunk-60-1.png │ │ ├── unnamed-chunk-61-1.png │ │ ├── unnamed-chunk-62-1.png │ │ ├── unnamed-chunk-64-1.png │ │ ├── unnamed-chunk-7-1.png │ │ └── unnamed-chunk-8-1.png ├── bookdown-demo_files │ └── figure-html │ │ ├── unnamed-chunk-135-1.png │ │ ├── unnamed-chunk-136-1.png │ │ ├── unnamed-chunk-147-1.png │ │ ├── unnamed-chunk-148-1.png │ │ ├── unnamed-chunk-154-1.png │ │ ├── unnamed-chunk-49-1.png │ │ ├── unnamed-chunk-50-1.png │ │ ├── unnamed-chunk-52-1.png │ │ ├── unnamed-chunk-53-1.png │ │ ├── unnamed-chunk-58-1.png │ │ ├── unnamed-chunk-59-1.png │ │ ├── unnamed-chunk-60-1.png │ │ └── unnamed-chunk-61-1.png ├── dealing-with-data.html ├── figures │ ├── Fig1ResearchCycle.pdf │ ├── Fig2DataTransform.pdf │ ├── Fig3RawData.pdf │ ├── Fig4aProducing.pdf │ ├── Fig4bPreProcessing.pdf │ ├── Fig5Long.pdf │ ├── Fig5Wide.pdf │ ├── Fig6TransformSteps.pdf │ ├── Fig7Excel.png │ ├── Fig7bExcel.png │ ├── Fig7cExcel.png │ ├── Fig8_randomNumber.png │ ├── FigRStudio.pdf │ ├── Loop.png │ ├── Rlogo.jpg │ ├── SnakesLadders.png │ ├── algorithm.png │ ├── fig4cAnalyzing.pdf │ ├── fig4dCommunicating.pdf │ ├── function.png │ ├── ifthen.png │ ├── median.jpg │ ├── tools.jpg │ └── value-container.jpg ├── fundamentals-of-computer-programming-languages.html ├── index.html ├── libs │ ├── gitbook-2.6.7 │ │ ├── css │ │ │ ├── fontawesome │ │ │ │ └── fontawesome-webfont.ttf │ │ │ ├── plugin-bookdown.css │ │ │ ├── plugin-fontsettings.css │ │ │ ├── plugin-highlight.css │ │ │ ├── plugin-search.css │ │ │ ├── plugin-table.css │ │ │ └── style.css │ │ └── js │ │ │ ├── app.min.js │ │ │ ├── jquery.highlight.js │ │ │ ├── lunr.js │ │ │ ├── plugin-bookdown.js │ │ │ ├── plugin-fontsettings.js │ │ │ ├── plugin-search.js │ │ │ └── plugin-sharing.js │ └── jquery-2.2.3 │ │ └── jquery.min.js ├── livecode-experiments.html ├── programming-challenges-i-learning-the-fundamentals.html ├── programming-challenges-ii-data.html ├── programming-in-r.html ├── search_index.json ├── simulating-and-analyzing-data-in-r.html ├── tufte.css ├── visualizing-the-data.html └── web-experiments.html ├── figures ├── Fig1ResearchCycle.pdf ├── Fig2DataTransform.pdf ├── Fig3RawData.pdf ├── Fig4aProducing.pdf ├── Fig4bPreProcessing.pdf ├── Fig5Long.pdf ├── Fig5Wide.pdf ├── Fig6TransformSteps.pdf ├── Fig7Excel.png ├── Fig7bExcel.png ├── Fig7cExcel.png ├── Fig8_randomNumber.pdf ├── Fig8_randomNumber.png ├── FigRStudio.pdf ├── Loop.png ├── Rlogo.jpg ├── SnakesLadders.png ├── algorithm.png ├── fig4cAnalyzing.pdf ├── fig4dCommunicating.pdf ├── function.png ├── ifthen.png ├── median.jpg ├── tools.jpg └── value-container.jpg ├── includeme.html ├── index.Rmd ├── packages.bib ├── preamble.tex ├── style.css ├── tempold ├── 05-summary.Rmd ├── OldDocs │ ├── RBasics.Rnw │ ├── RDataAnalysis.Rnw │ ├── RDataAnalysis2.Rnw │ └── RGGplot.Rnw ├── _book │ ├── 2-1-understanding-science.html │ ├── 2-2-scientific-research-in-psychology.html │ ├── 2-3-science-and-common-sense.html │ ├── 2-4-science-and-clinical-practice.html │ ├── 2-5-using-psychological-science-to-inform-your-worldview.html │ ├── 2-psychological-science.html │ ├── 3-1-basic-concepts.html │ ├── 3-2-generating-good-research-questions.html │ ├── 3-3-reviewing-the-research-literature.html │ ├── 3-getting-started.html │ ├── 4-1-understanding-psychological-measurement.html │ ├── 4-2-reliability-and-validity-of-measurement.html │ ├── 4-3-practical-strategies-for-psychological-measurement.html │ ├── 4-measurement.html │ ├── 5-1-experiments-in-a-nutshell.html │ ├── 5-2-an-example-psychology-experiment.html │ ├── 5-3-more-experimental-basics.html │ ├── 5-4-experimental-design.html │ ├── 5-5-conducting-experiments.html │ ├── 5-6-single-factor-designs-with-2-levels.html │ ├── 5-7-level-designs-and-t-tests.html │ ├── 5-8-single-factor-designs-with-multiple-levels.html │ ├── 5-single-factor-experiments.html │ ├── 6-final-words.html │ ├── applications.html │ ├── bookdown-demo.epub │ ├── bookdown-demo.pdf │ ├── bookdown-demo.tex │ ├── bookdown-demo_files │ │ └── figure-html │ │ │ ├── hellome-1.png │ │ │ ├── unnamed-chunk-1-1.png │ │ │ ├── unnamed-chunk-10-1.png │ │ │ ├── unnamed-chunk-10-2.png │ │ │ ├── unnamed-chunk-11-1.png │ │ │ ├── unnamed-chunk-11-2.png │ │ │ ├── unnamed-chunk-12-1.png │ │ │ ├── unnamed-chunk-13-1.png │ │ │ ├── unnamed-chunk-135-1.png │ │ │ ├── unnamed-chunk-136-1.png │ │ │ ├── unnamed-chunk-14-1.png │ │ │ ├── unnamed-chunk-147-1.png │ │ │ ├── unnamed-chunk-148-1.png │ │ │ ├── unnamed-chunk-15-1.png │ │ │ ├── unnamed-chunk-154-1.png │ │ │ ├── unnamed-chunk-16-1.png │ │ │ ├── unnamed-chunk-17-1.png │ │ │ ├── unnamed-chunk-18-1.png │ │ │ ├── unnamed-chunk-19-1.png │ │ │ ├── unnamed-chunk-2-1.png │ │ │ ├── unnamed-chunk-20-1.png │ │ │ ├── unnamed-chunk-23-1.png │ │ │ ├── unnamed-chunk-24-1.png │ │ │ ├── unnamed-chunk-25-1.png │ │ │ ├── unnamed-chunk-26-1.png │ │ │ ├── unnamed-chunk-3-1.png │ │ │ ├── unnamed-chunk-34-1.png │ │ │ ├── unnamed-chunk-35-1.png │ │ │ ├── unnamed-chunk-35-2.png │ │ │ ├── unnamed-chunk-36-1.png │ │ │ ├── unnamed-chunk-37-1.png │ │ │ ├── unnamed-chunk-37-2.png │ │ │ ├── unnamed-chunk-39-1.png │ │ │ ├── unnamed-chunk-4-1.png │ │ │ ├── unnamed-chunk-40-1.png │ │ │ ├── unnamed-chunk-41-1.png │ │ │ ├── unnamed-chunk-42-1.png │ │ │ ├── unnamed-chunk-49-1.png │ │ │ ├── unnamed-chunk-5-1.png │ │ │ ├── unnamed-chunk-50-1.png │ │ │ ├── unnamed-chunk-52-1.png │ │ │ ├── unnamed-chunk-53-1.png │ │ │ ├── unnamed-chunk-58-1.png │ │ │ ├── unnamed-chunk-59-1.png │ │ │ ├── unnamed-chunk-6-1.png │ │ │ ├── unnamed-chunk-60-1.png │ │ │ ├── unnamed-chunk-61-1.png │ │ │ ├── unnamed-chunk-7-1.png │ │ │ ├── unnamed-chunk-8-1.png │ │ │ ├── unnamed-chunk-8-2.png │ │ │ └── unnamed-chunk-9-1.png │ ├── control-problems.html │ ├── css │ │ ├── plugin-bookdown.css │ │ ├── plugin-highlight.css │ │ ├── plugin-search.css │ │ └── style.css │ ├── dealing-with-data.html │ ├── descriptive-statistics.html │ ├── factorial-designs.html │ ├── figures │ │ ├── 112.png │ │ ├── 113.png │ │ ├── 114.png │ │ ├── 115.png │ │ ├── C10Multiple2.pdf │ │ ├── C10alternating.pdf │ │ ├── C10multiple.pdf │ │ ├── C10reverse.pdf │ │ ├── C11biased.pdf │ │ ├── C11methods.pdf │ │ ├── C11mistakes.pdf │ │ ├── C11posters.png │ │ ├── C1Figure1.pdf │ │ ├── C1Figure1.png │ │ ├── C2F2_barchart.pdf │ │ ├── C2F3Correlation.pdf │ │ ├── C2F4Correlation2.pdf │ │ ├── C2F5Ucurve.pdf │ │ ├── C2F6NickCage.pdf │ │ ├── C3ethicsTable.pdf │ │ ├── C4Hypo.pdf │ │ ├── C4Intelligence.pdf │ │ ├── C4Memory.pdf │ │ ├── C4Theory.pdf │ │ ├── C5Mscales.pdf │ │ ├── C5bigfive.pdf │ │ ├── C5internal.pdf │ │ ├── C5testretest.pdf │ │ ├── C6blockRandomization.pdf │ │ ├── C6confound.pdf │ │ ├── C6counterbalance.pdf │ │ ├── C6noisydata.pdf │ │ ├── C6placebo.pdf │ │ ├── C7daily.pdf │ │ ├── C7internal.pdf │ │ ├── C7qualtable.pdf │ │ ├── C7timeseries.pdf │ │ ├── C83way.pdf │ │ ├── C8factorial.pdf │ │ ├── C8graphing.pdf │ │ ├── C8interactionbars.pdf │ │ ├── C8interactionlines.pdf │ │ ├── C8need.pdf │ │ ├── C9bruso.pdf │ │ ├── C9cognitivemodel.pdf │ │ ├── C9online.pdf │ │ ├── C9scales.pdf │ │ ├── C9survey.pdf │ │ ├── CrumpPlosOne.png │ │ ├── DSt1.pdf │ │ ├── DSt2.pdf │ │ ├── DSt3.pdf │ │ ├── DSt4.pdf │ │ ├── DSt5.pdf │ │ ├── DSt6.pdf │ │ ├── DSt7.pdf │ │ ├── DSt8.pdf │ │ ├── Fig12-10.png │ │ ├── Fig12-11.png │ │ ├── Fig12-12.png │ │ ├── Fig12-13.png │ │ ├── Fig12-14.png │ │ ├── Fig12-15.png │ │ ├── Fig12-5.png │ │ ├── Fig12-6.png │ │ ├── Fig12-7.png │ │ ├── Fig12-8.png │ │ ├── Fig12-9.png │ │ ├── Fig121.png │ │ ├── Fig122.png │ │ ├── Fig123.png │ │ ├── Fig124.png │ │ ├── Fig1ResearchCycle.pdf │ │ ├── Fig1_Research_Cycle.pdf │ │ ├── Fig2DataTransform.pdf │ │ ├── Fig2_DataTransform.pdf │ │ ├── Fig3RawData.pdf │ │ ├── Fig3_RawData.pdf │ │ ├── Fig4aProducing.pdf │ │ ├── Fig4a_Producing.pdf │ │ ├── Fig4bPreProcessing.pdf │ │ ├── Fig4b_PreProcessing.pdf │ │ ├── Fig4cAnalyzing.pdf │ │ ├── Fig4c_Analyzing.pdf │ │ ├── Fig4dCommunicating.pdf │ │ ├── Fig4d_Communicating.pdf │ │ ├── Fig5Long.pdf │ │ ├── Fig5Wide.pdf │ │ ├── Fig5_Long.pdf │ │ ├── Fig5_Wide.pdf │ │ ├── Fig6TransformSteps.pdf │ │ ├── Fig6_TransformSteps.pdf │ │ ├── Fig7Excel.png │ │ ├── Fig7_Excel.png │ │ ├── Fig7bExcel.png │ │ ├── Fig7b_Excel.png │ │ ├── Fig7cExcel.png │ │ ├── Fig7c_Excel.png │ │ ├── Fig8_randomNumber.pdf │ │ ├── Fig8_randomNumber.png │ │ ├── FigRStudio.pdf │ │ ├── IS2.pdf │ │ ├── IS3.pdf │ │ ├── IS4.pdf │ │ ├── IS5.pdf │ │ ├── IS6.pdf │ │ ├── IS7.pdf │ │ ├── ISt1.pdf │ │ ├── Light2.pdf │ │ ├── LightSwitch.png │ │ ├── Loop.png │ │ ├── Rlogo.jpg │ │ ├── SnakesLadders.png │ │ ├── algorithm.png │ │ ├── function.png │ │ ├── ifthen.png │ │ ├── median.jpg │ │ ├── tools.jpg │ │ └── value-container.jpg │ ├── final-words.html │ ├── from-the-replicability-crisis-to-open-science-practices.html │ ├── fundamentals-of-computer-programming-languages.html │ ├── getting-started.html │ ├── index.html │ ├── inferential-statistics.html │ ├── intro.html │ ├── level-designs-and-t-tests.html │ ├── libs │ │ ├── gitbook-2.6.7 │ │ │ ├── css │ │ │ │ ├── fontawesome │ │ │ │ │ └── fontawesome-webfont.ttf │ │ │ │ ├── plugin-bookdown.css │ │ │ │ ├── plugin-fontsettings.css │ │ │ │ ├── plugin-highlight.css │ │ │ │ ├── plugin-search.css │ │ │ │ └── style.css │ │ │ └── js │ │ │ │ ├── app.min.js │ │ │ │ ├── jquery.highlight.js │ │ │ │ ├── lunr.js │ │ │ │ ├── plugin-bookdown.js │ │ │ │ ├── plugin-fontsettings.js │ │ │ │ ├── plugin-search.js │ │ │ │ └── plugin-sharing.js │ │ ├── gitbook │ │ │ ├── css │ │ │ │ ├── fontawesome │ │ │ │ │ └── fontawesome-webfont.ttf │ │ │ │ ├── plugin-bookdown.css │ │ │ │ ├── plugin-fontsettings.css │ │ │ │ ├── plugin-highlight.css │ │ │ │ ├── plugin-search.css │ │ │ │ └── style.css │ │ │ └── js │ │ │ │ ├── app.min.js │ │ │ │ ├── jquery.highlight.js │ │ │ │ ├── lunr.js │ │ │ │ ├── plugin-bookdown.js │ │ │ │ ├── plugin-fontsettings.js │ │ │ │ ├── plugin-search.js │ │ │ │ └── plugin-sharing.js │ │ ├── jquery-2.2.3 │ │ │ └── jquery.min.js │ │ ├── jquery │ │ │ └── jquery.min.js │ │ └── tufte-css-2015.12.29 │ │ │ ├── et-book │ │ │ ├── bold-line-figures.ttf │ │ │ ├── display-italic-old-style-figures.ttf │ │ │ ├── roman-line-figures.ttf │ │ │ └── roman-old-style-figures.ttf │ │ │ └── tufte.css │ ├── literature.html │ ├── livecode-experiments.html │ ├── measurement.html │ ├── methods.html │ ├── nonexperimental-research.html │ ├── placeholder-1.html │ ├── placeholder.html │ ├── presenting-your-research.html │ ├── programming-challenges-i-learning-the-fundamentals.html │ ├── programming-challenges-ii-data.html │ ├── programming-experiments-for-the-web.html │ ├── programming-experiments-in-livecode.html │ ├── programming-in-r-1.html │ ├── programming-in-r.html │ ├── psychological-science.html │ ├── references.html │ ├── research-ethics.html │ ├── science-and-clinical-practice.html │ ├── science-and-common-sense.html │ ├── scientific-research-in-psychology.html │ ├── search_index.json │ ├── simulating-and-analyzing-data-in-r.html │ ├── simulating-real-differences.html │ ├── simulating-the-null.html │ ├── single-factor-experiments.html │ ├── single-subject-research.html │ ├── style.css │ ├── survey-research.html │ ├── theory-in-psychology.html │ ├── toc.css │ ├── tufte.css │ ├── understanding-science.html │ ├── using-psychological-science-to-inform-your-worldview.html │ ├── visualizing-the-data.html │ └── web-experiments.html └── _bookdown_files │ ├── bookdown-demo_cache │ └── html │ │ ├── __packages │ │ ├── unnamed-chunk-1_21f28313718dd0d25f489c93dab06b56.RData │ │ ├── unnamed-chunk-1_21f28313718dd0d25f489c93dab06b56.rdb │ │ ├── unnamed-chunk-1_21f28313718dd0d25f489c93dab06b56.rdx │ │ ├── unnamed-chunk-2_b506748a9eed5e5368cb46f0b14cb6fc.RData │ │ ├── unnamed-chunk-2_b506748a9eed5e5368cb46f0b14cb6fc.rdb │ │ └── unnamed-chunk-2_b506748a9eed5e5368cb46f0b14cb6fc.rdx │ └── bookdown-demo_files │ └── figure-html │ ├── hellome-1.png │ ├── unnamed-chunk-1-1.png │ ├── unnamed-chunk-10-1.png │ ├── unnamed-chunk-10-2.png │ ├── unnamed-chunk-11-1.png │ ├── unnamed-chunk-11-2.png │ ├── unnamed-chunk-12-1.png │ ├── unnamed-chunk-13-1.png │ ├── unnamed-chunk-135-1.png │ ├── unnamed-chunk-136-1.png │ ├── unnamed-chunk-14-1.png │ ├── unnamed-chunk-147-1.png │ ├── unnamed-chunk-148-1.png │ ├── unnamed-chunk-15-1.png │ ├── unnamed-chunk-154-1.png │ ├── unnamed-chunk-16-1.png │ ├── unnamed-chunk-17-1.png │ ├── unnamed-chunk-18-1.png │ ├── unnamed-chunk-19-1.png │ ├── unnamed-chunk-2-1.png │ ├── unnamed-chunk-20-1.png │ ├── unnamed-chunk-23-1.png │ ├── unnamed-chunk-24-1.png │ ├── unnamed-chunk-25-1.png │ ├── unnamed-chunk-26-1.png │ ├── unnamed-chunk-3-1.png │ ├── unnamed-chunk-34-1.png │ ├── unnamed-chunk-35-1.png │ ├── unnamed-chunk-35-2.png │ ├── unnamed-chunk-36-1.png │ ├── unnamed-chunk-37-1.png │ ├── unnamed-chunk-37-2.png │ ├── unnamed-chunk-39-1.png │ ├── unnamed-chunk-4-1.png │ ├── unnamed-chunk-40-1.png │ ├── unnamed-chunk-41-1.png │ ├── unnamed-chunk-42-1.png │ ├── unnamed-chunk-49-1.png │ ├── unnamed-chunk-5-1.png │ ├── unnamed-chunk-50-1.png │ ├── unnamed-chunk-52-1.png │ ├── unnamed-chunk-53-1.png │ ├── unnamed-chunk-58-1.png │ ├── unnamed-chunk-59-1.png │ ├── unnamed-chunk-6-1.png │ ├── unnamed-chunk-60-1.png │ ├── unnamed-chunk-61-1.png │ ├── unnamed-chunk-7-1.png │ ├── unnamed-chunk-8-1.png │ ├── unnamed-chunk-8-2.png │ └── unnamed-chunk-9-1.png ├── textoRMd ├── 01-PsychScience.md ├── 02-GettingStarted.md ├── 03-Measurement.md ├── 04-SingleFactor.md ├── 05-Factorial.md ├── 06-Theory.md ├── 07-Ethics.md ├── 08-Control.md ├── 09-Nonexperimental.md ├── 10-Survey.md ├── 11-Single.md ├── 12-Presenting.md ├── 13-Descriptives.md ├── 14-Inferential.md ├── Chapter10_Survey.tex ├── Chapter11_Single.tex ├── Chapter12_Presenting.tex ├── Chapter13_DescriptiveStats.tex ├── Chapter14_InferentialStats.tex ├── Chapter1_PsychologicalScience.tex ├── Chapter2_GettingStarted.tex ├── Chapter3_Measurement.tex ├── Chapter4_SingleFactor.tex ├── Chapter5_Factorial.tex ├── Chapter6_TheoryPhenomena.tex ├── Chapter7_Ethics.tex ├── Chapter8_Control.tex └── Chapter9_NonExperimental.tex ├── toc.css └── tufte.css /.gitignore: -------------------------------------------------------------------------------- 1 | .Rproj.user 2 | .Rhistory 3 | .RData 4 | .Ruserdata 5 | -------------------------------------------------------------------------------- /.nojekyll: -------------------------------------------------------------------------------- 1 | # assume you have initialized the git repository, 2 | # and are under the directory of the book repository now 3 | 4 | # create a hidden file .nojekyll 5 | touch .nojekyll 6 | # add to git here because will not show up in RStudio 7 | git add .nojekyll 8 | -------------------------------------------------------------------------------- /07-C7.Rmd: -------------------------------------------------------------------------------- 1 | # Programming Challenges II: Data 2 | 3 | This set of programming challenges will give you hands on experience with using R for data-analysis. 4 | 5 | ## Creating and Analyzing Simulated Data 6 | 7 | 1. Sample n values from a distribution 8 | 9 | 2. Summary Statistics 10 | 11 | 3. Mean, Median, Mode 12 | 13 | 4. Standard Deviation, Variance 14 | 15 | 5. Simulate and analyze data for a one sample t-test 16 | 17 | 6. Simulate and analyze data for an independent samples t-test 18 | 19 | 7. Simulate and analyze data for a paired samples t-test 20 | 21 | 8. Simulate and analyze correlated data between continuous X and Y variables 22 | 23 | 9. Simulate and analyze data for a chi-square test 24 | 25 | 10. Simulate and analyze data for a one-way ANOVA 26 | 27 | 11. Simulate and analyze data for a one-way repeated-measures ANOVA 28 | 29 | 12. Simulate and analyze data for a factorial ANOVA 30 | 31 | 13. Simulate and analyze data for a factorial repeated measures ANOVA 32 | 33 | 14. Simulate and analyze data for mixed design ANOVAs 34 | 35 | 15. Simulate and analyze the above by starting with simulated data for individual trials for each subject, and not simply simulated means for each condition 36 | 37 | 16. Monte-Carlo simulation for power-analysis 38 | 39 | ## Working with Real Raw Data 40 | 41 | 1. Loading data-files from a file 42 | 43 | 2. Pre-processing 44 | 45 | 3. Handling Exceptions, buggy data 46 | 47 | 4. Outliers 48 | 49 | 5. Binning means 50 | 51 | 6. Splitting the data into subsets 52 | 53 | 7. Creating new conditions for exploratory analysis -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: placeholder 2 | Type: Book 3 | Title: Does not matter. 4 | Version: 0.0.1 5 | Imports: bookdown 6 | Remotes: rstudio/bookdown 7 | -------------------------------------------------------------------------------- /Programming.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CrumpLab/programmingforpsych/4ef1dea11562e4ea9a26a50b71f327b98e8240a3/Programming.png -------------------------------------------------------------------------------- /ProgrammingTextbook.Rproj: -------------------------------------------------------------------------------- 1 | Version: 1.0 2 | 3 | RestoreWorkspace: Default 4 | SaveWorkspace: Default 5 | AlwaysSaveHistory: Default 6 | 7 | EnableCodeIndexing: Yes 8 | UseSpacesForTab: Yes 9 | NumSpacesForTab: 2 10 | Encoding: UTF-8 11 | 12 | RnwWeave: knitr 13 | LaTeX: pdfLaTeX 14 | 15 | BuildType: Website 16 | -------------------------------------------------------------------------------- /Programming_Crump.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CrumpLab/programmingforpsych/4ef1dea11562e4ea9a26a50b71f327b98e8240a3/Programming_Crump.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## What is this? 2 | 3 | Crump, Matthew J. C. (2017). *Programming for Psychologists: Data Creation and Analysis* (Version 1.1). [https://crumplab.github.io/programmingforpsych/](https://crumplab.github.io/programmingforpsych/) 4 | 5 | This textbook is a collection of notes for a course on programming for psychologists, taught at the Graduate Center of CUNY in 2014, by Matthew Crump. This github repo contains all of the source code to compile the book using bookdown...I hacked the together the style files for the gitbook style and the tufte style, and may have changed some .css settings in the bookdown package itself on my computer (so I apologize in advance if it doesn't compile properly). 6 | 7 | ## Contributing to the textbook while you read it 8 | 9 | 1. Use Hypothes.is, an amazing tool for annotating the web. 10 | 11 | a. Go to [Hypothes.is](https://web.hypothes.is/), and "get-started" 12 | 13 | b. Install the the add-on for chrome, or other browser 14 | 15 | c. That's it, turn on Hypothes.is when you are reading this textbook, and you will see all public annotations made by anyone else. 16 | 17 | ## Contribute by making push reqeusts 18 | 19 | 2. The source code for this textbook is available in this repo. 20 | 21 | a. Edit the .Rmd files, and then submit pull requests 22 | 23 | b. When you are reading the textbook, the edit link in the top bar of the textbook should automatically take you to the source .Rmd file 24 | 25 | ## License CC BY-SA 4.0 26 | 27 | The book is released under a creative commons [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license - CC BY-SA 4.0. 28 | -------------------------------------------------------------------------------- /RFiles/2x2Factorial_Between.txt: -------------------------------------------------------------------------------- 1 | Subjects Accuracy EncodingContext TestContext 2 | 1 1 Land Land 3 | 2 0.7343101357002 Land Land 4 | 3 0.930886458798518 Land Land 5 | 4 0.909218393709326 Land Land 6 | 5 0.887331571701617 Land Land 7 | 6 0.974706589781218 Land Land 8 | 7 0.810466630776661 Land Land 9 | 8 0.88802669212813 Land Land 10 | 9 1 Land Land 11 | 10 0.814188693183231 Land Land 12 | 11 0.843586844060222 Land Land 13 | 12 0.811320043428237 Land Land 14 | 13 0.600853607667806 Land Land 15 | 14 0.688876656971564 Land Land 16 | 15 0.892467532189125 Land Land 17 | 16 0.754448182508789 Land Land 18 | 17 0.810470721978657 Land Land 19 | 18 0.846772329061466 Land Land 20 | 19 0.672718916176824 Land Land 21 | 20 0.748611501105057 Land Land 22 | 21 0.458871890354482 Land Water 23 | 22 0.678386949425782 Land Water 24 | 23 0.587631840505092 Land Water 25 | 24 0.478628335690104 Land Water 26 | 25 0.54831945028378 Land Water 27 | 26 0.52768898594801 Land Water 28 | 27 0.690022591256859 Land Water 29 | 28 0.717900558950178 Land Water 30 | 29 0.517165172065367 Land Water 31 | 30 0.636039005513763 Land Water 32 | 31 0.663278219309045 Land Water 33 | 32 0.613999422388805 Land Water 34 | 33 0.552564333053978 Land Water 35 | 34 0.689729314876792 Land Water 36 | 35 0.56309799866323 Land Water 37 | 36 0.576555535927226 Land Water 38 | 37 0.669836673095031 Land Water 39 | 38 0.741426869945681 Land Water 40 | 39 0.765514586581263 Land Water 41 | 40 0.540453029219742 Land Water 42 | 41 0.44910757691398 Water Land 43 | 42 0.501688786650649 Water Land 44 | 43 0.613740165747816 Water Land 45 | 44 0.606542883208623 Water Land 46 | 45 0.72613062062287 Water Land 47 | 46 0.421488425007117 Water Land 48 | 47 0.736569454156024 Water Land 49 | 48 0.606151669167949 Water Land 50 | 49 0.371611547949711 Water Land 51 | 50 0.798933938991496 Water Land 52 | 51 0.672983095328467 Water Land 53 | 52 0.548147304556603 Water Land 54 | 53 0.631390808655037 Water Land 55 | 54 0.671218222054591 Water Land 56 | 55 0.604082482796149 Water Land 57 | 56 0.607351088531631 Water Land 58 | 57 0.717072068570582 Water Land 59 | 58 0.482145486721722 Water Land 60 | 59 0.622440807476573 Water Land 61 | 60 0.680661830835579 Water Land 62 | 61 0.675364585210935 Water Water 63 | 62 0.762174567754831 Water Water 64 | 63 0.922713686081331 Water Water 65 | 64 0.94029983028093 Water Water 66 | 65 0.682060234536784 Water Water 67 | 66 0.76250498437713 Water Water 68 | 67 0.946251852921641 Water Water 69 | 68 0.682828734778943 Water Water 70 | 69 0.909191723504893 Water Water 71 | 70 0.87195692150619 Water Water 72 | 71 0.764864829530659 Water Water 73 | 72 0.819411058413969 Water Water 74 | 73 0.613319302761361 Water Water 75 | 74 0.908009354156647 Water Water 76 | 75 0.640830053721999 Water Water 77 | 76 0.76963914607629 Water Water 78 | 77 0.784435759738297 Water Water 79 | 78 0.613325218217716 Water Water 80 | 79 0.833322589453932 Water Water 81 | 80 0.837066458740239 Water Water 82 | -------------------------------------------------------------------------------- /RFiles/PsychopyStroop.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant, 2 | red,r,0,yellow,0,0,0,5,r,1,1.12012195587,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 3 | blue,b,0,red,0,1,1,10,b,1,0.685652017593,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 4 | blue,b,1,blue,0,2,2,7,b,1,0.468327045441,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 5 | red,r,1,red,0,3,3,0,r,1,0.535138845444,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 6 | red,r,1,red,0,4,4,2,r,1,0.518367052078,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 7 | green,g,0,yellow,0,5,5,23,g,1,0.986363887787,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.551743030548,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 9 | red,r,1,red,0,7,7,1,r,1,0.585213899612,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 10 | green,g,1,green,0,8,8,19,g,1,0.668766021729,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 11 | green,g,0,blue,0,9,9,21,g,1,0.902759075165,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 12 | green,g,1,green,0,10,10,18,g,1,0.551738023758,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 13 | green,g,1,green,0,11,11,20,g,1,0.48499417305,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 14 | blue,b,0,yellow,0,12,12,11,b,1,0.652111053467,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.535130023956,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 16 | yellow,y,0,green,0,14,14,15,y,1,0.885982036591,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 17 | red,r,0,green,0,15,15,3,r,1,0.752511024475,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 18 | blue,b,0,green,0,16,16,9,b,1,0.618680000305,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 19 | yellow,y,0,blue,0,17,17,16,y,1,0.585214853287,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 20 | green,g,0,red,0,18,18,22,g,1,0.952803850174,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 21 | red,r,0,blue,0,19,19,4,r,1,0.652043104172,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 22 | blue,b,1,blue,0,20,20,8,b,1,0.568480014801,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 23 | blue,b,1,blue,0,21,21,6,b,1,0.568604946136,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.602057933807,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 25 | yellow,y,0,red,0,23,23,17,y,1,0.585180997849,2013_Sep_18_1426,60.0095859581,StroopExample,001,1, 26 | -------------------------------------------------------------------------------- /RFiles/SimpleDetection.R: -------------------------------------------------------------------------------- 1 | Subjects<-c(rep(seq(1:20),each=200)) 2 | Trial<-c(rep(seq(1:200),20)) 3 | DelayA<-rep(c("100","500"),each=100) 4 | Delay<-c() 5 | for(i in 1:20){ 6 | Delay<-c(Delay,sample(DelayA)) 7 | } 8 | RTs<-c() 9 | for(i in 1:4000){ 10 | if(Delay[i]=="100"){ 11 | RTs<-c(RTs,rnorm(1,350,50)) 12 | } else { 13 | RTs<-c(RTs,rnorm(1,250,50)) 14 | } 15 | } 16 | AllData<-data.frame(Subjects,Trial,Delay,RTs) 17 | write.table(AllData, "DetectionData.txt", sep="\t") -------------------------------------------------------------------------------- /RFiles/SingleFactor_Between.txt: -------------------------------------------------------------------------------- 1 | Subjects IV1 DV 2 | 1 Group1 620.355893622343 3 | 2 Group1 661.457011509867 4 | 3 Group1 394.660925644275 5 | 4 Group1 382.138050712675 6 | 5 Group1 360.95469485377 7 | 6 Group1 598.240128919483 8 | 7 Group1 736.596560332042 9 | 8 Group1 430.347946968637 10 | 9 Group1 238.004469804263 11 | 10 Group1 468.551538946289 12 | 11 Group1 579.01624386933 13 | 12 Group1 428.309190329505 14 | 13 Group1 403.676320258596 15 | 14 Group1 480.049972782655 16 | 15 Group1 498.878170505935 17 | 16 Group1 434.250069709794 18 | 17 Group1 398.886412347733 19 | 18 Group1 474.250366677837 20 | 19 Group1 669.648686208514 21 | 20 Group1 534.008591518045 22 | 21 Group2 567.442065960517 23 | 22 Group2 687.601821459908 24 | 23 Group2 427.249957919461 25 | 24 Group2 565.521118722448 26 | 25 Group2 599.26622833445 27 | 26 Group2 608.524553956632 28 | 27 Group2 589.506048860972 29 | 28 Group2 398.498024455993 30 | 29 Group2 539.94379877703 31 | 30 Group2 416.872997309711 32 | 31 Group2 413.631477645641 33 | 32 Group2 475.290074666211 34 | 33 Group2 626.858645875636 35 | 34 Group2 504.272643668572 36 | 35 Group2 529.429503214665 37 | 36 Group2 647.859111887506 38 | 37 Group2 671.398003869963 39 | 38 Group2 489.23991256163 40 | 39 Group2 678.188182774383 41 | 40 Group2 662.788312782144 42 | 41 Group3 639.969950978564 43 | 42 Group3 636.096916746559 44 | 43 Group3 511.471446557786 45 | 44 Group3 592.347455165851 46 | 45 Group3 446.37287879934 47 | 46 Group3 829.089011178928 48 | 47 Group3 746.700404547818 49 | 48 Group3 725.475643284601 50 | 49 Group3 648.756584124306 51 | 50 Group3 537.128419204798 52 | 51 Group3 544.254387466565 53 | 52 Group3 627.638255054228 54 | 53 Group3 554.044330784086 55 | 54 Group3 584.305433746653 56 | 55 Group3 470.35707006464 57 | 56 Group3 638.720791060607 58 | 57 Group3 485.753944176023 59 | 58 Group3 553.77047701986 60 | 59 Group3 429.453116419251 61 | 60 Group3 575.296205648623 62 | -------------------------------------------------------------------------------- /RFiles/SingleFactor_Within.txt: -------------------------------------------------------------------------------- 1 | Subjects ReactionTime Practice 2 | 1 597.079508074672 Block1 3 | 2 652.285477533192 Block1 4 | 3 668.413514112828 Block1 5 | 4 669.597290766514 Block1 6 | 5 642.569243717062 Block1 7 | 6 698.309845461482 Block1 8 | 7 728.269115756106 Block1 9 | 8 713.78515854615 Block1 10 | 9 718.459919619322 Block1 11 | 10 655.713995408463 Block1 12 | 11 701.841121540216 Block1 13 | 12 656.263089299697 Block1 14 | 13 656.184009343316 Block1 15 | 14 698.903357185799 Block1 16 | 15 642.172687885944 Block1 17 | 16 662.57428030219 Block1 18 | 17 709.836254954408 Block1 19 | 18 694.056733261772 Block1 20 | 19 656.343430644935 Block1 21 | 20 688.757991387019 Block1 22 | 1 737.768054573966 Block2 23 | 2 650.115042030893 Block2 24 | 3 631.857588509826 Block2 25 | 4 573.49723992173 Block2 26 | 5 658.21177349699 Block2 27 | 6 669.451225114716 Block2 28 | 7 652.460946257214 Block2 29 | 8 645.961830040574 Block2 30 | 9 684.600085427338 Block2 31 | 10 643.093228050713 Block2 32 | 11 563.233747115572 Block2 33 | 12 602.597257106614 Block2 34 | 13 721.368043306295 Block2 35 | 14 620.815793919719 Block2 36 | 15 592.358876281945 Block2 37 | 16 704.133503330688 Block2 38 | 17 570.261244172034 Block2 39 | 18 618.48091101129 Block2 40 | 19 673.04425585292 Block2 41 | 20 701.388632488141 Block2 42 | 1 528.527792225985 Block3 43 | 2 576.041469296645 Block3 44 | 3 678.912263056876 Block3 45 | 4 695.22341741385 Block3 46 | 5 695.379763782443 Block3 47 | 6 605.719671012091 Block3 48 | 7 526.846286874189 Block3 49 | 8 571.739529977663 Block3 50 | 9 540.686535120486 Block3 51 | 10 541.905490954757 Block3 52 | 11 613.114285279211 Block3 53 | 12 701.05695773883 Block3 54 | 13 728.130233262762 Block3 55 | 14 628.06057091216 Block3 56 | 15 624.83955184206 Block3 57 | 16 658.203227964764 Block3 58 | 17 641.809807900595 Block3 59 | 18 555.808379231253 Block3 60 | 19 634.365674963665 Block3 61 | 20 582.080172342136 Block3 62 | 1 584.691242685349 Block4 63 | 2 549.754290062832 Block4 64 | 3 608.099317783515 Block4 65 | 4 550.622395009236 Block4 66 | 5 621.017134791166 Block4 67 | 6 622.738078413452 Block4 68 | 7 693.295239496658 Block4 69 | 8 755.672200086735 Block4 70 | 9 593.871408080734 Block4 71 | 10 512.447552625332 Block4 72 | 11 546.868853472345 Block4 73 | 12 617.270243555039 Block4 74 | 13 583.395386322785 Block4 75 | 14 639.274321927359 Block4 76 | 15 704.635926682001 Block4 77 | 16 541.912525956802 Block4 78 | 17 582.856666159607 Block4 79 | 18 595.20447291666 Block4 80 | 19 560.279047160518 Block4 81 | 20 605.957538679874 Block4 82 | -------------------------------------------------------------------------------- /RFiles/Subject1.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.12012195587,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.685652017593,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.468327045441,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 5 | red,r,1,red,0,3,3,0,r,1,0.535138845444,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 6 | red,r,1,red,0,4,4,2,r,1,0.518367052078,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 7 | green,g,0,yellow,0,5,5,23,g,1,0.986363887787,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.551743030548,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 9 | red,r,1,red,0,7,7,1,r,1,0.585213899612,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 10 | green,g,1,green,0,8,8,19,g,1,0.668766021729,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 11 | green,g,0,blue,0,9,9,21,g,1,0.902759075165,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 12 | green,g,1,green,0,10,10,18,g,1,0.551738023758,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 13 | green,g,1,green,0,11,11,20,g,1,0.48499417305,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.652111053467,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.535130023956,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 16 | yellow,y,0,green,0,14,14,15,y,1,0.885982036591,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 17 | red,r,0,green,0,15,15,3,r,1,0.752511024475,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.618680000305,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.585214853287,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 20 | green,g,0,red,0,18,18,22,g,1,0.952803850174,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.652043104172,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.568480014801,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.568604946136,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.602057933807,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.585180997849,2013_Sep_18_1426,60.0095859581,StroopExample,1,1,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject2.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.2813111887855,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.476770116845719,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.224510934477006,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 5 | red,r,1,red,0,3,3,0,r,1,0.342082605792273,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 6 | red,r,1,red,0,4,4,2,r,1,0.36475580126373,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 7 | green,g,0,yellow,0,5,5,23,g,1,0.907015109970738,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.421443158346368,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 9 | red,r,1,red,0,7,7,1,r,1,0.264814425812365,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 10 | green,g,1,green,0,8,8,19,g,1,1.00103136887662,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 11 | green,g,0,blue,0,9,9,21,g,1,0.755087984184131,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 12 | green,g,1,green,0,10,10,18,g,1,0.37423983663529,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 13 | green,g,1,green,0,11,11,20,g,1,0.328339306649405,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.833616730964647,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.0736568413582088,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 16 | yellow,y,0,green,0,14,14,15,y,1,0.51439666414302,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 17 | red,r,0,green,0,15,15,3,r,1,0.944908940697243,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.62631319767034,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.721598794991027,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 20 | green,g,0,red,0,18,18,22,g,1,0.722259923930496,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.572829990519863,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.665717329940904,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.449938417793784,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.608917214070758,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.557735765474918,2013_Sep_18_1426,60.0095859581,StroopExample,1,2,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject3.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.13606980360159,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.458929887250303,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.594140003089962,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 5 | red,r,1,red,0,3,3,0,r,1,0.163728138428938,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 6 | red,r,1,red,0,4,4,2,r,1,0.500383164882432,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 7 | green,g,0,yellow,0,5,5,23,g,1,1.18367902092791,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.466709944772887,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 9 | red,r,1,red,0,7,7,1,r,1,0.368597641461471,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 10 | green,g,1,green,0,8,8,19,g,1,0.711378325224203,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 11 | green,g,0,blue,0,9,9,21,g,1,1.04296550943837,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 12 | green,g,1,green,0,10,10,18,g,1,0.374052850327262,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 13 | green,g,1,green,0,11,11,20,g,1,0.34539587707061,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.403428227792679,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.313563709284833,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 16 | yellow,y,0,green,0,14,14,15,y,1,0.705033179855091,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 17 | red,r,0,green,0,15,15,3,r,1,0.942745485280839,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.56442098245897,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.419325122968332,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 20 | green,g,0,red,0,18,18,22,g,1,0.964561752496293,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.869194999865677,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.534025513398395,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.884415044318175,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.711832566181161,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.457261206710485,2013_Sep_18_1426,60.0095859581,StroopExample,1,3,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject4.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.56887986072239,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.5703172617425,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.496236717490081,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 5 | red,r,1,red,0,3,3,0,r,1,1.13092275678086,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 6 | red,r,1,red,0,4,4,2,r,1,0.844539737224605,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 7 | green,g,0,yellow,0,5,5,23,g,1,1.02225483716201,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.828353073653785,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 9 | red,r,1,red,0,7,7,1,r,1,0.378352672616716,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 10 | green,g,1,green,0,8,8,19,g,1,0.868302870545099,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 11 | green,g,0,blue,0,9,9,21,g,1,1.08785935508981,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 12 | green,g,1,green,0,10,10,18,g,1,0.478117023767095,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 13 | green,g,1,green,0,11,11,20,g,1,0.353847255807566,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.750098632786468,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.404751172476109,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 16 | yellow,y,0,green,0,14,14,15,y,1,1.02130862146568,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 17 | red,r,0,green,0,15,15,3,r,1,0.758473059851278,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.866399291007638,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.194469502039991,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 20 | green,g,0,red,0,18,18,22,g,1,0.766770769576642,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.920916004163868,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.373002481865044,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.920679851677292,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.505865728477558,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.235618862996366,2013_Sep_18_1426,60.0095859581,StroopExample,1,4,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject5.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.1565106325437,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.607026507375417,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.36421962923168,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 5 | red,r,1,red,0,3,3,0,r,1,0.558034894732982,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 6 | red,r,1,red,0,4,4,2,r,1,0.449463961736741,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 7 | green,g,0,yellow,0,5,5,23,g,1,1.12674010397828,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.291636725985372,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 9 | red,r,1,red,0,7,7,1,r,1,0.522456414598895,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 10 | green,g,1,green,0,8,8,19,g,1,0.668718407133407,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 11 | green,g,0,blue,0,9,9,21,g,1,1.16556285285286,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 12 | green,g,1,green,0,10,10,18,g,1,0.665744786448244,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 13 | green,g,1,green,0,11,11,20,g,1,0.564151499918127,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.603650226614992,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.546812694258416,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 16 | yellow,y,0,green,0,14,14,15,y,1,0.574099531623182,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 17 | red,r,0,green,0,15,15,3,r,1,0.882235664826158,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.799765991989596,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.550030187360205,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 20 | green,g,0,red,0,18,18,22,g,1,0.73559511445887,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.81834565451157,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.860498624558635,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.584997822896012,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.687025423410401,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.46216282767106,2013_Sep_18_1426,60.0095859581,StroopExample,1,5,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject6.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.05125493576938,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.759380312181053,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.608518293717778,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 5 | red,r,1,red,0,3,3,0,r,1,0.477155801708765,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 6 | red,r,1,red,0,4,4,2,r,1,0.265897795574538,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 7 | green,g,0,yellow,0,5,5,23,g,1,1.13169043111047,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.606359907426886,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 9 | red,r,1,red,0,7,7,1,r,1,0.716850007731142,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 10 | green,g,1,green,0,8,8,19,g,1,0.571976940169422,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 11 | green,g,0,blue,0,9,9,21,g,1,1.02524775766677,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 12 | green,g,1,green,0,10,10,18,g,1,0.649087266825985,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 13 | green,g,1,green,0,11,11,20,g,1,0.688857307189835,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.656118034888468,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.592337641223908,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 16 | yellow,y,0,green,0,14,14,15,y,1,1.39253959915649,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 17 | red,r,0,green,0,15,15,3,r,1,0.621404168628151,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.502173337172795,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.778651524861468,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 20 | green,g,0,red,0,18,18,22,g,1,0.896608008307709,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 21 | red,r,0,blue,0,19,19,4,r,1,0.916465946126837,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.488620820683942,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.596975229991811,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.727323971204869,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.4474027930951,2013_Sep_18_1426,60.0095859581,StroopExample,1,6,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject7.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,1.11150079716414,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 3 | blue,b,0,red,0,1,1,10,b,1,0.776741362342823,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 4 | blue,b,1,blue,0,2,2,7,b,1,0.382276403991717,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 5 | red,r,1,red,0,3,3,0,r,1,0.16976651509628,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 6 | red,r,1,red,0,4,4,2,r,1,0.57155426554189,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 7 | green,g,0,yellow,0,5,5,23,g,1,1.2228491143528,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 8 | yellow,y,1,yellow,0,6,6,13,y,1,0.67491940438015,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 9 | red,r,1,red,0,7,7,1,r,1,0.587221491577868,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 10 | green,g,1,green,0,8,8,19,g,1,0.515499151010592,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 11 | green,g,0,blue,0,9,9,21,g,1,0.819297053959836,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 12 | green,g,1,green,0,10,10,18,g,1,0.456780373135988,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 13 | green,g,1,green,0,11,11,20,g,1,0.890092017655383,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 14 | blue,b,0,yellow,0,12,12,11,b,1,0.591437810011502,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 15 | yellow,y,1,yellow,0,13,13,12,y,1,0.77657600450605,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 16 | yellow,y,0,green,0,14,14,15,y,1,0.820874678236571,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 17 | red,r,0,green,0,15,15,3,r,1,1.17948148148475,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 18 | blue,b,0,green,0,16,16,9,b,1,0.772271321342222,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 19 | yellow,y,0,blue,0,17,17,16,y,1,0.517831435366074,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 20 | green,g,0,red,0,18,18,22,g,1,0.995277254588327,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 21 | red,r,0,blue,0,19,19,4,r,1,1.11688752689704,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 22 | blue,b,1,blue,0,20,20,8,b,1,0.517944865573476,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 23 | blue,b,1,blue,0,21,21,6,b,1,0.149453547820908,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 24 | yellow,y,1,yellow,0,22,22,14,y,1,0.807923733425892,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 25 | yellow,y,0,red,0,23,23,17,y,1,0.769229293482677,2013_Sep_18_1426,60.0095859581,StroopExample,1,7,NA 26 | -------------------------------------------------------------------------------- /RFiles/Subject8.csv: -------------------------------------------------------------------------------- 1 | colorstim,corrAnswer,congruency,wordstim,StrialsLoop.thisRepN,StrialsLoop.thisTrialN,StrialsLoop.thisN,StrialsLoop.thisIndex,KeypressTime.keys,KeypressTime.corr,KeypressTime.rt,date,frameRate,expName,session,participant,X 2 | red,r,0,yellow,0,0,0,5,r,1,0.891162182110205,2013_Sep_18_1426,60.0095859581,StroopExample,1,8,NA 3 | 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#!/bin/sh 2 | 3 | Rscript -e "bookdown::render_book('index.Rmd', 'bookdown::gitbook')" 4 | -------------------------------------------------------------------------------- /_deploy.sh: -------------------------------------------------------------------------------- 1 | #!/bin/sh 2 | 3 | set -e 4 | 5 | [ -z "${GITHUB_PAT}" ] && exit 0 6 | [ "${TRAVIS_BRANCH}" != "master" ] && exit 0 7 | 8 | git config --global user.email "xie@yihui.name" 9 | git config --global user.name "Yihui Xie" 10 | 11 | git clone -b gh-pages https://${GITHUB_PAT}@github.com/${TRAVIS_REPO_SLUG}.git book-output 12 | cd book-output 13 | cp -r ../_book/* ./ 14 | git add --all * 15 | git commit -m"Update the book" || true 16 | git push -q origin gh-pages 17 | -------------------------------------------------------------------------------- /_output.yml: -------------------------------------------------------------------------------- 1 | bookdown::gitbook: 2 | css: style.css 3 | config: 4 | toc: 5 | before: | 6 |
  • Programming
    • 7 | after: | 8 |
  • Published with bookdown
    • 9 | edit: https://github.com/CrumpLab/programmingforpsych/blob/master/%s 10 | download: ["pdf"] 11 | bookdown::pdf_book: 12 | includes: 13 | in_header: preamble.tex 14 | latex_engine: xelatex 15 | citation_package: natbib 16 | keep_tex: yes 17 | bookdown::epub_book: default 18 | -------------------------------------------------------------------------------- /book.bib: -------------------------------------------------------------------------------- 1 | @Book{xie2015, 2 | title = {Dynamic Documents with {R} and knitr}, 3 | author = {Yihui Xie}, 4 | publisher = {Chapman and Hall/CRC}, 5 | address = {Boca Raton, Florida}, 6 | year = {2015}, 7 | edition = {2nd}, 8 | note = {ISBN 978-1498716963}, 9 | url = {http://yihui.name/knitr/}, 10 | } 11 | -------------------------------------------------------------------------------- /css/plugin-bookdown.css: -------------------------------------------------------------------------------- 1 | .book .book-header h1 { 2 | padding-left: 20px; 3 | padding-right: 20px; 4 | } 5 | .book .book-header.fixed { 6 | position: fixed; 7 | right: 0; 8 | top: 0; 9 | left: 0; 10 | border-bottom: 1px solid rgba(0,0,0,.07); 11 | } 12 | span.search-highlight { 13 | background-color: #ffff88; 14 | } 15 | @media (min-width: 600px) { 16 | .book.with-summary .book-header.fixed { 17 | left: 300px; 18 | } 19 | } 20 | @media (max-width: 1240px) { 21 | .book .book-body.fixed { 22 | top: 50px; 23 | } 24 | .book .book-body.fixed .body-inner { 25 | top: auto; 26 | } 27 | } 28 | @media (max-width: 600px) { 29 | .book.with-summary .book-header.fixed { 30 | left: calc(100% - 60px); 31 | min-width: 300px; 32 | } 33 | .book.with-summary .book-body { 34 | transform: none; 35 | left: calc(100% - 60px); 36 | min-width: 300px; 37 | } 38 | .book .book-body.fixed { 39 | top: 0; 40 | } 41 | } 42 | 43 | .book .book-body.fixed .body-inner { 44 | top: 50px; 45 | } 46 | .book .book-body .page-wrapper .page-inner section.normal sub, .book .book-body .page-wrapper .page-inner section.normal sup { 47 | font-size: 85%; 48 | } 49 | 50 | @media print { 51 | .book .book-summary, .book .book-body .book-header, .fa { 52 | display: none !important; 53 | } 54 | .book .book-body.fixed { 55 | left: 0px; 56 | } 57 | .book .book-body,.book .book-body .body-inner, .book.with-summary { 58 | overflow: visible !important; 59 | } 60 | } 61 | .kable_wrapper { 62 | border-spacing: 20px 0; 63 | border-collapse: separate; 64 | border: none; 65 | margin: auto; 66 | } 67 | .kable_wrapper > tbody > tr > td { 68 | vertical-align: top; 69 | } 70 | .book .book-body .page-wrapper .page-inner section.normal table tr.header { 71 | border-top-width: 2px; 72 | } 73 | .book .book-body .page-wrapper .page-inner section.normal table tr:last-child td { 74 | border-bottom-width: 2px; 75 | } 76 | .book .book-body .page-wrapper .page-inner section.normal table td, .book .book-body .page-wrapper .page-inner section.normal table th { 77 | border-left: none; 78 | border-right: none; 79 | } 80 | .book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr, .book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr > td { 81 | border-top: none; 82 | } 83 | .book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr:last-child > td { 84 | border-bottom: none; 85 | } 86 | 87 | div.theorem, div.lemma, div.corollary, div.proposition { 88 | font-style: italic; 89 | } 90 | span.theorem, span.lemma, span.corollary, span.proposition { 91 | font-style: normal; 92 | } 93 | div.proof:after { 94 | content: "\25a2"; 95 | float: right; 96 | } 97 | .header-section-number { 98 | padding-right: .5em; 99 | } 100 | -------------------------------------------------------------------------------- /css/plugin-search.css: -------------------------------------------------------------------------------- 1 | .book .book-summary .book-search { 2 | padding: 6px; 3 | background: transparent; 4 | position: absolute; 5 | top: -50px; 6 | left: 0px; 7 | right: 0px; 8 | transition: top 0.5s ease; 9 | } 10 | .book .book-summary .book-search input, 11 | .book .book-summary .book-search input:focus, 12 | .book .book-summary .book-search input:hover { 13 | width: 100%; 14 | background: transparent; 15 | border: 1px solid #ccc; 16 | box-shadow: none; 17 | outline: none; 18 | line-height: 22px; 19 | padding: 7px 4px; 20 | color: inherit; 21 | box-sizing: border-box; 22 | } 23 | .book.with-search .book-summary .book-search { 24 | top: 0px; 25 | } 26 | .book.with-search .book-summary ul.summary { 27 | top: 50px; 28 | } 29 | -------------------------------------------------------------------------------- /docs/.nojekyll: -------------------------------------------------------------------------------- 1 | # assume you have initialized the git repository, 2 | # and are under the directory of the book repository now 3 | 4 | # create a hidden file .nojekyll 5 | touch .nojekyll 6 | # add to git here 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Highlight plugin 5 | * 6 | * Based on highlight v3 by Johann Burkard 7 | * http://johannburkard.de/blog/programming/javascript/highlight-javascript-text-higlighting-jquery-plugin.html 8 | * 9 | * Code a little bit refactored and cleaned (in my humble opinion). 10 | * Most important changes: 11 | * - has an option to highlight only entire words (wordsOnly - false by default), 12 | * - has an option to be case sensitive (caseSensitive - false by default) 13 | * - highlight element tag and class names can be specified in options 14 | * 15 | * Copyright (c) 2009 Bartek Szopka 16 | * 17 | * Licensed under MIT license. 18 | * 19 | */ 20 | 21 | jQuery.extend({ 22 | highlight: function (node, re, nodeName, className) { 23 | if (node.nodeType === 3) { 24 | var match = node.data.match(re); 25 | if (match) { 26 | var highlight = document.createElement(nodeName || 'span'); 27 | highlight.className = className || 'highlight'; 28 | var wordNode = node.splitText(match.index); 29 | wordNode.splitText(match[0].length); 30 | var wordClone = wordNode.cloneNode(true); 31 | highlight.appendChild(wordClone); 32 | wordNode.parentNode.replaceChild(highlight, wordNode); 33 | return 1; //skip added node in parent 34 | } 35 | } else if ((node.nodeType === 1 && node.childNodes) && // only element nodes that have children 36 | !/(script|style)/i.test(node.tagName) && // ignore script and style nodes 37 | !(node.tagName === nodeName.toUpperCase() && node.className === className)) { // skip if already highlighted 38 | for (var i = 0; i < node.childNodes.length; i++) { 39 | i += jQuery.highlight(node.childNodes[i], re, nodeName, className); 40 | } 41 | } 42 | return 0; 43 | } 44 | }); 45 | 46 | jQuery.fn.unhighlight = function (options) { 47 | var settings = { className: 'highlight', element: 'span' }; 48 | jQuery.extend(settings, options); 49 | 50 | return this.find(settings.element + "." + settings.className).each(function () { 51 | var parent = this.parentNode; 52 | parent.replaceChild(this.firstChild, this); 53 | parent.normalize(); 54 | }).end(); 55 | }; 56 | 57 | jQuery.fn.highlight = function (words, options) { 58 | var settings = { className: 'highlight', element: 'span', caseSensitive: false, wordsOnly: false }; 59 | jQuery.extend(settings, options); 60 | 61 | if (words.constructor === String) { 62 | words = [words]; 63 | } 64 | words = jQuery.grep(words, function(word, i){ 65 | return word !== ''; 66 | }); 67 | words = jQuery.map(words, function(word, i) { 68 | return word.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, "\\$&"); 69 | }); 70 | if (words.length === 0) { return this; } 71 | 72 | var flag = settings.caseSensitive ? "" : "i"; 73 | var pattern = "(" + words.join("|") + ")"; 74 | if (settings.wordsOnly) { 75 | pattern = "\\b" + pattern + "\\b"; 76 | } 77 | var re = new RegExp(pattern, flag); 78 | 79 | return this.each(function () { 80 | jQuery.highlight(this, re, settings.element, settings.className); 81 | }); 82 | }; 83 | 84 | }); 85 | -------------------------------------------------------------------------------- /figures/Fig1ResearchCycle.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CrumpLab/programmingforpsych/4ef1dea11562e4ea9a26a50b71f327b98e8240a3/figures/Fig1ResearchCycle.pdf -------------------------------------------------------------------------------- /figures/Fig2DataTransform.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CrumpLab/programmingforpsych/4ef1dea11562e4ea9a26a50b71f327b98e8240a3/figures/Fig2DataTransform.pdf 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-------------------------------------------------------------------------------- 1 | --- 2 | title: "Programming for Psychologists: Data Creation and Analysis" 3 | author: "Matthew J. C. Crump" 4 | date: " 2014: Last compiled `r Sys.Date()`" 5 | site: bookdown::bookdown_site 6 | output: 7 | bookdown::gitbook: 8 | includes: 9 | in_header: includeme.html 10 | css: tufte.css 11 | fontsettings: 12 | theme: white 13 | family: sans 14 | size: 1 15 | documentclass: book 16 | bibliography: [book.bib, packages.bib, MyLibrary.bib] 17 | biblio-style: apalike 18 | link-citations: yes 19 | #github-repo: rstudio/bookdown-demo 20 | description: "Tips on learning programming skills for experimental psychology" 21 | --- 22 | 23 | # Preface {-} 24 | 25 | ```{r,echo=F,fig.align="center",eval=T} 26 | knitr::include_graphics("Programming.png") 27 | ``` 28 | 29 | Crump, Matthew J. C. (2017). Programming for Psychologists: Data Creation and Analysis (Version 1.1). https://crumplab.github.io/programmingforpsych/ 30 | 31 | This textbook is a collection of notes for a course on programming for psychologists, taught at the Graduate Center of CUNY, by Matthew Crump. 32 | 33 | *Contributing to the textbook* 34 | 35 | 1. Use Hypothes.is, an amazing tool for annotating the web. 36 | 37 | a. Go to [Hypothes.is](https://web.hypothes.is/), and "get-started" 38 | 39 | b. Install the the add-on for chrome, or other browser 40 | 41 | c. That's it, turn on Hypothes.is when you are reading this textbook, and you will see all public annotations made by anyone else. 42 | 43 | 2. The source code for this textbook is available in my github repo [programmingforpsych](https://github.com/CrumpLab/programmingforpsych) 44 | 45 | a. Edit the .Rmd files, and push them back 46 | 47 | b. The edit link in the top bar of the textbook should automatically take you to the source .Rmd file 48 | 49 | **License CC BY-SA 4.0 license** 50 | 51 | The book is released under a creative commons [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license - CC BY-SA 4.0. 52 | -------------------------------------------------------------------------------- /packages.bib: -------------------------------------------------------------------------------- 1 | @Manual{R-base, 2 | title = {R: A Language and Environment for Statistical Computing}, 3 | author = {{R Core Team}}, 4 | organization = {R Foundation for Statistical Computing}, 5 | address = {Vienna, Austria}, 6 | year = {2016}, 7 | url = {https://www.R-project.org/}, 8 | } 9 | @Manual{R-bookdown, 10 | title = {bookdown: Authoring Books and Technical Documents with R Markdown}, 11 | author = {Yihui Xie}, 12 | year = {2017}, 13 | note = {R package version 0.4.1}, 14 | url = {https://github.com/rstudio/bookdown}, 15 | } 16 | @Manual{R-knitr, 17 | title = {knitr: A General-Purpose Package for Dynamic Report Generation in R}, 18 | author = {Yihui Xie}, 19 | year = {2017}, 20 | note = {R package version 1.16.6}, 21 | url = {https://yihui.name/knitr/}, 22 | } 23 | @Manual{R-rmarkdown, 24 | title = {rmarkdown: Dynamic Documents for R}, 25 | author = {JJ Allaire and Joe Cheng and Yihui Xie and Jonathan McPherson and Winston Chang and Jeff Allen and Hadley Wickham and Aron Atkins and Rob Hyndman and Ruben Arslan}, 26 | note = {R package version 1.6.0.9001}, 27 | url = {http://rmarkdown.rstudio.com}, 28 | year = {2017}, 29 | } 30 | -------------------------------------------------------------------------------- /preamble.tex: -------------------------------------------------------------------------------- 1 | \usepackage{booktabs} 2 | \usepackage{amsthm} 3 | \makeatletter 4 | \def\thm@space@setup{% 5 | \thm@preskip=8pt plus 2pt minus 4pt 6 | \thm@postskip=\thm@preskip 7 | } 8 | \makeatother 9 | -------------------------------------------------------------------------------- /style.css: -------------------------------------------------------------------------------- 1 | p.caption { 2 | color: #777; 3 | margin-top: 10px; 4 | } 5 | p code { 6 | white-space: inherit; 7 | } 8 | pre { 9 | word-break: normal; 10 | word-wrap: normal; 11 | } 12 | pre code { 13 | white-space: inherit; 14 | } 15 | 16 | testme{ 17 | color: #777; 18 | } 19 | -------------------------------------------------------------------------------- /tempold/05-summary.Rmd: -------------------------------------------------------------------------------- 1 | # References 2 | 3 | We have finished a nice book. 4 | -------------------------------------------------------------------------------- /tempold/_book/bookdown-demo.epub: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CrumpLab/programmingforpsych/4ef1dea11562e4ea9a26a50b71f327b98e8240a3/tempold/_book/bookdown-demo.epub 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none; 18 | line-height: 22px; 19 | padding: 7px 4px; 20 | color: inherit; 21 | box-sizing: border-box; 22 | } 23 | .book.with-search .book-summary .book-search { 24 | top: 0px; 25 | } 26 | .book.with-search .book-summary ul.summary { 27 | top: 50px; 28 | } 29 | -------------------------------------------------------------------------------- /tempold/_book/libs/gitbook/js/jquery.highlight.js: -------------------------------------------------------------------------------- 1 | gitbook.require(["jQuery"], function(jQuery) { 2 | 3 | /* 4 | * jQuery Highlight plugin 5 | * 6 | * Based on highlight v3 by Johann Burkard 7 | * http://johannburkard.de/blog/programming/javascript/highlight-javascript-text-higlighting-jquery-plugin.html 8 | * 9 | * Code a little bit refactored and cleaned (in my humble opinion). 10 | * Most important changes: 11 | * - has an option to highlight only entire words (wordsOnly - false by default), 12 | * - has an option to be case sensitive (caseSensitive - false by default) 13 | * - highlight element tag and class names can be specified in options 14 | * 15 | * Copyright (c) 2009 Bartek Szopka 16 | * 17 | * Licensed under MIT license. 18 | * 19 | */ 20 | 21 | jQuery.extend({ 22 | highlight: function (node, re, nodeName, className) { 23 | if (node.nodeType === 3) { 24 | var match = node.data.match(re); 25 | if (match) { 26 | var highlight = document.createElement(nodeName || 'span'); 27 | highlight.className = className || 'highlight'; 28 | var wordNode = node.splitText(match.index); 29 | wordNode.splitText(match[0].length); 30 | var wordClone = wordNode.cloneNode(true); 31 | highlight.appendChild(wordClone); 32 | wordNode.parentNode.replaceChild(highlight, wordNode); 33 | return 1; //skip added node in parent 34 | } 35 | } else if ((node.nodeType === 1 && node.childNodes) && // only element nodes that have children 36 | !/(script|style)/i.test(node.tagName) && // ignore script and style nodes 37 | !(node.tagName === nodeName.toUpperCase() && node.className === className)) { // skip if already highlighted 38 | for (var i = 0; i < node.childNodes.length; i++) { 39 | i += jQuery.highlight(node.childNodes[i], re, nodeName, className); 40 | } 41 | } 42 | return 0; 43 | } 44 | }); 45 | 46 | jQuery.fn.unhighlight = function (options) { 47 | var settings = { className: 'highlight', element: 'span' }; 48 | jQuery.extend(settings, options); 49 | 50 | return this.find(settings.element + "." + settings.className).each(function () { 51 | var parent = this.parentNode; 52 | parent.replaceChild(this.firstChild, this); 53 | parent.normalize(); 54 | }).end(); 55 | }; 56 | 57 | jQuery.fn.highlight = function (words, options) { 58 | var settings = { className: 'highlight', element: 'span', caseSensitive: false, wordsOnly: false }; 59 | jQuery.extend(settings, options); 60 | 61 | if (words.constructor === String) { 62 | words = [words]; 63 | } 64 | words = jQuery.grep(words, function(word, i){ 65 | return word !== ''; 66 | }); 67 | words = 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