hddplot: Use Known Groups in High-Dimensional Data to Derive Scores for Plots

Cross-validated linear discriminant calculations determine the optimum number of features. Test and training scores from successive cross-validation steps determine, via a principal components calculation, a low-dimensional global space onto which test scores are projected, in order to plot them. Further functions are included that serve didactic purposes.

Install the latest version of this package by entering the following in R:
install.packages("hddplot")
AuthorJohn Maindonald
Date of publication2016-11-03 23:09:33
MaintainerJohn Maindonald <john.maindonald@anu.edu.au>
LicenseGPL (>= 2)
Version0.57-2
http://www.maths.anu.edu.au/~johnm

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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