hddplot: Use Known Groups in High-Dimensional Data to Derive Scores for Plots
Version 0.57-5

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 are intended for didactic use. The package implements, and extends, methods described in J.H. Maindonald and C.J. Burden (2005) .

Package details

AuthorJohn Maindonald
Date of publication2017-09-03 11:31:27 UTC
MaintainerJohn Maindonald <[email protected]>
LicenseGPL (>= 2)
Version0.57-5
URL http://maths-people.anu.edu.au/~johnm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hddplot")

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hddplot documentation built on Sept. 3, 2017, 5:02 p.m.