hddplot
R package 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.
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