schoRsch: Tools for analyzing factorial experiments
Description
The package 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.code
anova_out
item
v1.0 | 2013-03-20 |Details
ll{
Package: schoRsch
Type: Package
Version: 1.1
Date: 2014-07-30
License: GPL-3
}
This package contains the following functions:
{Formats the output object from ezANOVA
to the APA style.}
cor_out
: {Formats the output object from cor.test
to the APA style.}
chi_out
: {Formats the output object from chisq.test
to the APA style.}
t_out
: {Formats the output object from t.test
to the APA style.}
outlier
: {Screens data for outliers, based on absolute values or z-scores. Outliers can either be marked or eliminated.}
ntiles
: {Split distribution into quantiles for distribution analysis.}
zscores
: {Computes z-scores of values separately for defined design cells.}
cd
: {To easily change the current working directory.}
toclipboard
: {Write data to clipboard (Windows only).}
clear
: {Clears the whole workspace (i.e., like rm(list=ls())
)}