Other packages > Find by keyword >

schoRsch  

Tools for Analyzing Factorial Experiments
View on CRAN: Click here


Download and install schoRsch package within the R console
Install from CRAN:
install.packages("schoRsch")

Install from Github:
library("remotes")
install_github("cran/schoRsch")

Install by package version:
library("remotes")
install_version("schoRsch", "1.11")



Attach the package and use:
library("schoRsch")
Maintained by
Roland Pfister
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-20
Latest Update: 2024-11-19
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) .
How to cite:
Roland Pfister (2013). schoRsch: Tools for Analyzing Factorial Experiments. R package version 1.11, https://cran.r-project.org/web/packages/schoRsch. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2013-03-20 19:09), 1.1 (2014-08-24 00:11), 1.2 (2015-07-05 23:35), 1.3 (2016-09-14 18:51), 1.4 (2017-02-14 16:21), 1.5 (2018-12-15 23:20), 1.6 (2019-05-02 13:50), 1.7 (2019-11-12 21:50), 1.8 (2020-09-23 12:30), 1.9.1 (2020-12-15 09:30), 1.9 (2020-12-11 20:30), 1.10 (2022-11-01 22:15)
Other packages that cited schoRsch R package
View schoRsch citation profile
Other R packages that schoRsch depends, imports, suggests or enhances
Complete documentation for schoRsch
Functions, R codes and Examples using the schoRsch R package
Some associated functions: anova_out . cd . chi_out . clear . clear_all_but . cor_out . ntiles . outlier . schoRsch . t_out . toclipboard . zscores . 
Some associated R codes: anova_out.R . cd.R . chi_out.R . clear.R . clear_all_but.R . cor_out.R . ntiles.R . outlier.R . t_out.R . toclipboard.R . zscores.R .  Full schoRsch package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA