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Use Known Groups in High-Dimensional Data to Derive Scores for Plots
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | hddplot |
Use Known Groups in High-Dimensional Data to Derive Scores for Plots |
Statements
14 September 2023
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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) <https://journal.austms.org.au/V46/CTAC2004/Main/home.html>.
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expanded from: GPL (≥ 2) (English)
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