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kSamples  

K-Sample Rank Tests and their Combinations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kSamples", "1.2-10")



Attach the package and use:
library("kSamples")
Maintained by
Fritz Scholz
[Scholar Profile | Author Map]
First Published: 2012-08-31
Latest Update: 2019-05-20
Description:
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
How to cite:
Fritz Scholz (2012). kSamples: K-Sample Rank Tests and their Combinations. R package version 1.2-10, https://cran.r-project.org/web/packages/kSamples. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0.1 (2015-02-10 00:21), 1.0 (2012-08-31 19:01), 1.2-3 (2016-02-17 09:00), 1.2-4 (2016-06-10 07:48), 1.2-6 (2017-06-15 00:52), 1.2-7 (2017-08-13 07:35), 1.2-8 (2018-06-03 16:29), 1.2-9 (2019-05-20 23:50)
Other packages that cited kSamples R package
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Complete documentation for kSamples
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