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hddplot (version 0.55)

Use known groups in high-dimensional data to derive scores for plots

Description

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.

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Install

install.packages('hddplot')

Monthly Downloads

239

Version

0.55

License

GPL (>= 2)

Maintainer

Last Published

March 25th, 2012

Functions in hddplot (0.55)