kim: A Toolkit for Behavioral Scientists (an R package)

A collection of functions for analyzing data typically collected or used by behavioral scientists.

Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts (robust) two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys.

To use this package, please follow the steps below.

1. In R, install the package from CRAN by typing:

install.packages("kim")

2. After the package is installed, attach the package in R by typing:

library(kim)

3. After the package is attached, update the package to the newest version from the package's Github page by typing:

update_kim()