'CAinterprTools': R package for visual aid to Correspondence Analysis interpretation
Some of the features of the R script for CA (described in this site) have been turned into an R package. The package is available from my GitHib repository, and can be installed from that repository straight into R via the 'devtools' package (see instruction at the bottom of this page). Besides implementing some of the features of my CA script, the package dramatically expands the facilities available to get a viasual aid to the interpretation of the results of Correspondence Analysis. Among other things, the package allows to calculate the significance of the CA dimensions and of the total inertia by means of a permutation test. Further, the package comes with some builtin dataset, among which one of those used by Prof. Michael Greenacre in his book on CA. The dataset is named 'greenacre_data' [after Greenacre 2007 (p. 90, exhibit 12.1)].
The package is also described in an article of mine published in Elsevier's SoftwareX journal (LINK).
If you want to cite my package, you may use the following format:
Alberti G, CAinterprTools: An R package to help interpreting Correspondence Analysis’ results, SoftwareX, Volumes 1–2, September 2015, Pages 2631, ISSN 23527110, http://dx.doi.org/10.1016/j.softx.2015.07.001.
Please note that the package has been improved several times since 2015. A description of the facilities it provides can be found in the PDF below.
Some of the features of the R script for CA (described in this site) have been turned into an R package. The package is available from my GitHib repository, and can be installed from that repository straight into R via the 'devtools' package (see instruction at the bottom of this page). Besides implementing some of the features of my CA script, the package dramatically expands the facilities available to get a viasual aid to the interpretation of the results of Correspondence Analysis. Among other things, the package allows to calculate the significance of the CA dimensions and of the total inertia by means of a permutation test. Further, the package comes with some builtin dataset, among which one of those used by Prof. Michael Greenacre in his book on CA. The dataset is named 'greenacre_data' [after Greenacre 2007 (p. 90, exhibit 12.1)].
The package is also described in an article of mine published in Elsevier's SoftwareX journal (LINK).
If you want to cite my package, you may use the following format:
Alberti G, CAinterprTools: An R package to help interpreting Correspondence Analysis’ results, SoftwareX, Volumes 1–2, September 2015, Pages 2631, ISSN 23527110, http://dx.doi.org/10.1016/j.softx.2015.07.001.
Please note that the package has been improved several times since 2015. A description of the facilities it provides can be found in the PDF below.
'CAinterprTools' package installation To install the package in R, just follow the few steps listed below (you can copy and paste the highlighted pieces of code): 1) install the 'devtools' package: install.packages("devtools", dependencies=TRUE) 2) load that package: library(devtools) 3) download the 'CAinterprTools' package from GitHub via the 'devtools''s command: install_github("gianmarcoalberti/CAinterprTools@v0.20") 4) load the package: library(CAinterprTools) 5) enjoy! 

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