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greenclust  

Combine Categories Using Greenacre's Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("greenclust", "1.1.1")



Attach the package and use:
library("greenclust")
Maintained by
Jeff Jetton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2020-01-10
Description:
Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) . The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
How to cite:
Jeff Jetton (2019). greenclust: Combine Categories Using Greenacre's Method. R package version 1.1.1, https://cran.r-project.org/web/packages/greenclust. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2019-07-18 13:50), 1.1.0 (2020-01-10 17:50)
Other packages that cited greenclust R package
View greenclust citation profile
Other R packages that greenclust depends, imports, suggests or enhances
Complete documentation for greenclust
Functions, R codes and Examples using the greenclust R package
Some associated functions: assign.cluster . greenclust . greencut . greenplot . 
Some associated R codes: assigncluster.R . greenclust.R . greencut.R . greenplot.R .  Full greenclust package functions and examples
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