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Soc.ca - a package for specific correspondence analysis

This R package is optimized to the needs of social scientists producing specific and class specific multiple correspondence analysis on survey-like data. soc.ca is optimized to only give the most essential statistical output values sorted so as to help in analysis. Separate functions exists for near publication-ready plots and tables.

This Github repository contains the development version of the package and if you are using it you should expect features to change and code to break. Soon a stable version will be available through CRAN.

For a guide to installation: Requirements and installation

For a incomplete list of studies using the soc.ca package: Publications

For examples use examples(directors) or examples(taste) inside R

Acknowledgements

We are in debt to the great work of others, especially Brigitte Le Roux and Henry Rouanet for the mathematical definitions of the method and their examples. Furthermore this package was initially based on code from the ca package written by Michael Greenacre and Oleg Nenadic.

If you are looking for features that are absent in soc.ca, it may be available in some of these great packages for correspondence analysis: ca, anacor and FactoMineR.

References

Le Roux, B., og H. Rouanet. 2010. Multiple correspondence analysis. Thousand Oaks: Sage.