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README.md
In chisq.posthoc.test: A Post Hoc Analysis for Pearson's Chi-Squared Test for Count Data
Overview
chisq.posthoc.test is a R package that is designed to run a post hoc analysis for Pearson's Chi-squared Test for Count Data. The residuals as well as p-values will be returned.
Installation
The easiest way to get chisq.posthoc.test is to install it using the devtools:
install.packages("devtools")
devtools::install_github("ebbertd/chisq.posthoc.test")
Usage
chisq.posthoc.test(x, y, method = "bonferroni", ...)
x corresponds to x of the chisq.test function and are passed on to it. The method indicates the p adjustment method and defaults to the Bonferroni method. Additional options can be given which are passed on to the chisq.test function.
Notes
This work was inspired by the Youtube videos on how to do the Chi-Square Post-Hoc Testing in SPSS.
References
T. Mark Beasley & Randall E. Schumacker (1995) Multiple Regression Approach to Analyzing Contingency Tables: Post Hoc and Planned Comparison Procedures, The Journal of Experimental Education, 64:1, 79-93, DOI: 10.1080/00220973.1995.9943797
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chisq.posthoc.test documentation built on Oct. 30, 2019, 11:41 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Overview
chisq.posthoc.test is a R package that is designed to run a post hoc analysis for Pearson's Chi-squared Test for Count Data. The residuals as well as p-values will be returned.
Installation
The easiest way to get chisq.posthoc.test is to install it using the devtools:
install.packages("devtools")
devtools::install_github("ebbertd/chisq.posthoc.test")
Usage
chisq.posthoc.test(x, y, method = "bonferroni", ...)
x corresponds to x of the chisq.test function and are passed on to it. The method indicates the p adjustment method and defaults to the Bonferroni method. Additional options can be given which are passed on to the chisq.test function.
Notes
This work was inspired by the Youtube videos on how to do the Chi-Square Post-Hoc Testing in SPSS.
References
T. Mark Beasley & Randall E. Schumacker (1995) Multiple Regression Approach to Analyzing Contingency Tables: Post Hoc and Planned Comparison Procedures, The Journal of Experimental Education, 64:1, 79-93, DOI: 10.1080/00220973.1995.9943797
Try the chisq.posthoc.test package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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