hddplot: Use Known Groups in High-Dimensional Data to Derive Scores for Plots
Version 0.57-2

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.

Package details

AuthorJohn Maindonald
Date of publication2016-11-03 23:09:33
MaintainerJohn Maindonald <john.maindonald@anu.edu.au>
LicenseGPL (>= 2)
URL http://www.maths.anu.edu.au/~johnm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the hddplot package in your browser

Any scripts or data that you put into this service are public.

hddplot documentation built on May 30, 2017, 3:07 a.m.