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.