Awesome
R functions for formatting results in APA style and other stuff
What is it?
Functions for APA-style formatting for statistical tests results in markdown or LaTeX and other miscellanous stuff.
Main functions
| Function | Description |
|---|---|
| describe.Anova | Describe Anova results |
| describe.aov | Describe aov results |
| describe.bf | Describe BayesFactor results |
| describe.bimod.test | Describe bimodality test results |
| describe.binom.mean.conf | Describe mean and confidence intervals for binomial variable |
| describe.chi | Describe $chi^2$ results |
| describe.dip.test | Describe Hartigans' dip test results |
| describe.ezanova | Describe ezANOVA results |
| describe.ezstats | Describe ezStats results |
| describe.glm | Describe regression model (GLM, GLMer, lm, lm.circular, ...) |
| describe.lht | Describe linearHypothesis test results |
| describe.lmer | Describe lmer results |
| describe.lmert | Describe lmerTest results |
| describe.lmtaov | Describe lmerTest anova results |
| describe.lsmeans | Describe contrasts created by lsmeans |
| describe.emmeans | Describe contrasts created by emmeans |
| describe.mean.and.t | Describe two-sample t-test with means and effect sizes |
| describe.mean.conf | Describe mean and confidence intervals |
| describe.mean.sd | Describe mean and SD |
| describe.r | Describe Pearson test results |
| describe.roc.diff | Describe differences between ROC curves |
| describe.ttest | Describe t-test results |
How to install?
install.packages("devtools")
devtools::install_github('achetverikov/apastats')
library(apastats)
How to use?
Most of the functions have names like "describe.something" where something is a name of statistical test or R function.
They take results of statistical test as input and provide a formatted output. So, for example, if you use repeated measures ANOVA, you can easily get something like "F(3, 54) = 516.61, p < .001" from ezANOVA results.
Methods included:
- chi-squared
- Pearson r
- t-test
- ANOVA, rm ANOVA
- lm, glm, lmer
Additional functions:
- plotting - pointrange plots with optional within-subject CIs; breaks-computing functions for Tufte-like plots
- misc - drop.empty.cols() to drop empty columns from df, mean.nn() and sd.nn() for means and SDs without NA, lengthu() for
length(unique(x))
Some examples can be found here: https://github.com/achetverikov/apastats/blob/master/example/example.md and in help files.
Disclaimer
Everything is provided as is, contributions are welcome, authors of borrowed functions are mentioned in functions descriptions.