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: | 0.54 |
| Depends: | MASS |
| Published: | 2011-03-31 |
| 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 |
| Package source: | hddplot_0.54.tar.gz |
| MacOS X binary: | hddplot_0.54.tgz |
| Windows binary: | hddplot_0.54.zip |
| Reference manual: | hddplot.pdf |
| Old sources: | hddplot archive |
| Reverse depends: | Metabonomic |