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.

Version: 0.52
Depends: MASS
Published: 2009-01-13
Author: John Maindonald
Maintainer: John Maindonald <john.maindonald at anu.edu.au>
License: GPL (≥ 2)
Citation: hddplot citation info
In views: Multivariate
CRAN checks: hddplot results

Downloads:

Package source: hddplot_0.52.tar.gz
MacOS X binary: hddplot_0.52.tgz
Windows binary: hddplot_0.52.zip
Reference manual: hddplot.pdf
Old sources: hddplot archive

Reverse dependencies:

Reverse depends: Metabonomic