Package: schoRsch 1.11
Roland Pfister
schoRsch: Tools for Analyzing Factorial Experiments
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) <doi:10.20982/tqmp.12.2.p147>.
Authors:
schoRsch_1.11.tar.gz
schoRsch_1.11.tar.gz(r-4.5-noble)schoRsch_1.11.tar.gz(r-4.4-noble)
schoRsch_1.11.tgz(r-4.4-emscripten)schoRsch_1.11.tgz(r-4.3-emscripten)
schoRsch.pdf |schoRsch.html✨
schoRsch/json (API)
# Install 'schoRsch' in R: |
install.packages('schoRsch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:bee8980fb5. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux | OK | Nov 25 2024 |
Exports:anova_outbimod_coefcdchi_outclearclear_all_butcor_outntilesoutliert_outtoclipboardzscores
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Format ANOVA Output | anova_out |
Compute bimodality coefficient | bimod_coef |
Change Directory | cd |
Format Chi-Squared Test Output | chi_out |
Clear Global Workspace | clear |
Clear Parts of Global Workspace | clear_all_but |
Format Correlation Test Statistics | cor_out |
Split distribution into quantiles | ntiles |
Screen Data for Outliers | outlier |
Tools for Analyzing Factorial Experiments | schoRsch-package schoRsch |
Format t-Test Output | t_out |
Copy Data to Clipboard | toclipboard |
Compute z-Scores by Condition | zscores |