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: 2022-11-01
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 03 Feb. 2025.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  
SMR  
Externally Studentized Midrange Distribution
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency  
sgof  
Multiple Hypothesis Testing
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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