Learn R Programming

schoRsch (version 1.10)

Tools for Analyzing Factorial Experiments

Description

Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) .

Copy Link

Version

Install

install.packages('schoRsch')

Monthly Downloads

688

Version

1.10

License

GPL

Maintainer

Roland Pfister

Last Published

November 1st, 2022

Functions in schoRsch (1.10)

clear

Clear Global Workspace
chi_out

Format Chi-Squared Test Output
outlier

Screen Data for Outliers
schoRsch

Tools for Analyzing Factorial Experiments
toclipboard

Copy Data to Clipboard
zscores

Compute z-Scores by Condition
t_out

Format t-Test Output
ntiles

Split distribution into quantiles
cor_out

Format Correlation Test Statistics
anova_out

Format ANOVA Output
cd

Change Directory
clear_all_but

Clear Parts of Global Workspace