YEAR: 2016 51 | COPYRIGHT HOLDER: David J. Stanley 52 |53 | 54 |
David Stanley. Author, maintainer. 54 |
55 |Source: DESCRIPTION
Stanley D (2023). 63 | apaTables: Create American Psychological Association (APA) Style Tables. 64 | https://github.com/dstanley4/apaTables, http://dstanley4.github.io/apaTables/. 65 |
66 |@Manual{,
67 | title = {apaTables: Create American Psychological Association (APA) Style Tables},
68 | author = {David Stanley},
69 | year = {2023},
70 | note = {https://github.com/dstanley4/apaTables, http://dstanley4.github.io/apaTables/},
71 | }
72 | A data set from Howell (2012)
53 |data(Eysenck)A data frame with 100 rows and 3 variables:
Young or Old
Experimental learning condition
Level of word recall
https://www.uvm.edu/~statdhtx/methods8/DataFiles/Tab13-2.dat
76 |A data set from Field et al (2012)
53 |data(album)A data frame with 200 rows and 4 variables:
Amount spent of adverts, thousands of pounds
Album sales in thousands
Number of times songs from album played on radio week prior to release
Attractiveness rating of band members
R/pdfOutput.R
48 | apa.knit.table.for.pdf.RdCreate latex output for an apaTables object
53 |apa.knit.table.for.pdf(
58 | table_object,
59 | table_note = NULL,
60 | table_title = NULL,
61 | line_spacing = 1
62 | )Previously constructed apaTable object
Replace default table note with this text
Replace default table title with this text
Line spacing multiplier for table
R/rtfOutput.R
48 | apa.save.RdSave previously constructed APA table objects in a single .doc file
53 |Filename (e.g., my.tables.doc)
apaTable objects to be saved
Use "us" or "a4". Default is "us".
library(apaTables)
84 |
85 | table1 <- apa.1way.table(iv = dose, dv = libido,
86 | data = viagra, table.number = 1)
87 |
88 | table2 <- apa.2way.table(iv1 = gender, iv2 = alcohol,
89 | dv = attractiveness,
90 | data = goggles, table.number = 1)
91 |
92 | apa.save(filename = "my.tables.doc", table1, table2)
93 |
94 | # delete demo file
95 | if (file.exists("my.tables.doc")) {
96 | file.remove("my.tables.doc")
97 | }
98 | #> [1] TRUE
99 | R/apaTables.R
48 | apaTables.RdA common task faced by researchers is the creation of APA style (i.e., American Psychological Association style) tables from statistical output. In R a large number of function calls are often needed to obtain all of the desired information for a single APA style table. As well, the process of manually creating APA style tables in a word processor is prone to transcription errors. This package creates Word files (.doc files) and latex code containing APA style tables for several types of analyses. Using this package minimizes transcription errors and reduces the number commands needed by the user. Examples are provided in this documentation and at http://www.StatsCanBeFun.com.
53 |Bugs and feature requests can be reported at: https://github.com/dstanley4/apaTables/issues
59 |Tutorial at: https://dstanley4.github.io/apaTables/articles/apaTables.html
60 |Currently, the following tables can be created:
Correlation tables - Correlation tables (with confidence intervals and descriptive statistics) are created from data frames using apa.cor.table.
Single "block" regression tables - Single "block" regression tables are created from a regression object using apa.reg.table.
Multiple "block" regression tables - Multiple "block" regression tables are created from regression objects using apa.reg.table.
ANOVA tables - An ANOVA F-table can be created via apa.aov.table from a regression object (i.e. lm output or aov output). Cell mean/standard deviation tables for 1- and 2-way designs are created from data frames using apa.1way.table and apa.2way.table.
ezANOVA tables from ez package - An ANOVA F-table from ezANOVA output can be created via apa.ezANOVA.table.
Standardized mean difference (i.e., d-value) tables (with confidence intervals and descriptive statistics) illustrating all possible paired comparisons using a single independent variable are created from data frames using apa.d.table.
| Package: | apaTables |
| Type: | Package |
| Version: | 3.0.0 |
| Date: | 2023-06-29 |
| License: | MIT |
| Author: | David J. Stanley dstanley@uoguelph.ca |
| Maintainer: | David J. Stanley dstanley@uoguelph.ca |
A data set from Field et al (2012)
53 |data(dating_wide)A data frame with 20 rows and 11 columns. Gender is a between subjects variable. Looks and Personality are within subject variables. Both gender and particpant are factors.
Factor: Participant ID number
Factor: Gender: Male/Female
Date rating where looks=attractive and personality=high
Date rating where looks=average and personality=high
Date rating where looks=ugly and personality=high
Date rating where looks=attractive and personality=some
Date rating where looks=average and personality=some
Date rating where looks=ugly and personality=some
Date rating where looks=attractive and personality=none
Date rating where looks=average and personality=none
Date rating where looks=ugly and personality=none
R/data-drink_attitude_wide.R
48 | drink_attitude_wide.RdA data set from Field et al (2012)
53 |data(drink_attitude_wide)A data frame with 20 rows and 10 columns. Drink and Imagery are within subject variables. Particpant is a factor.
Factor: Participant ID number
Attitude where drink=beer and imagery=positive
Attitude where drink=beer and imagery=negative
Attitude where drink=beer and imagery=neutral
Attitude where drink=wine and imagery=positive
Attitude where drink=wine and imagery=negative
Attitude where drink=wine and imagery=neutral
Attitude where drink=water and imagery=positive
Attitude where drink=water and imagery=negative
Attitude where drink=water and imagery=neutral
R/data-fidler_thompson.R
48 | fidler_thompson.RdA data set from Fidler & Thompson (2001)
53 |data(fidler_thompson)A data set from Field et al (2012)
53 |data(goggles)A data frame with 48 rows and 3 variables:
Participant identification number
Gender of participant
Amount alcohol consumed
Perceived attractiveness
Eysenck
63 | album
68 | apa.1way.table()
73 | apa.2way.table()
78 | apa.aov.table()
83 | apa.cor.table()
88 | apa.d.table()
93 | apa.ezANOVA.table()
98 | apa.knit.table.for.pdf()
103 | apa.reg.table()
108 | apa.save()
113 | apaTables
118 | dating_wide
123 | drink_attitude_wide
128 | fidler_thompson
133 | get.ci.partial.eta.squared()
138 | goggles
143 | viagra
148 | A data set from Field et al (2012)
53 |data(viagra)A data frame with 15 rows and 2 variables:
Level of viagra dose
Libido after taking viagra