hddplot (0.55)
Use known groups in high-dimensional data to derive scores for plots.
http://www.maths.anu.edu.au/~johnm
http://cran.r-project.org/web/packages/hddplot
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.
Maintainer:
John Maindonald
Author(s): John Maindonald
License: GPL (>= 2)
Uses: MASS
Reverse depends: Metabonomic
Released about 1 year ago.
3 previous versions
- hddplot_0.54. Released about 2 years ago.
- hddplot_0.52. Released over 4 years ago.
- hddplot_0.51. Released about 7 years ago.
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