Man pages for hddplot
Use Known Groups in High-Dimensional Data to Derive Scores for Plots

accTrainTestTwo subsets of data each take in turn the role of test set
aovFbyrowcalculate aov F-statistic for each row of a matrix
cvdiscCross-validated accuracy, in linear discriminant calculations
cvscoresFor high-dimensional data with known groups, derive scores...
defectiveCVdiscdefective accuracy assessments from linear discriminant...
divideUpPartition data into mutiple nearly equal subsets
GolubGolub data (7129 rows by 72 columns), after normalization
golubInfoClassifying factors for the 72 columns of the Golub data set
hddplot.packageUse Known Groups in High-Dimensional Data to Derive Scores...
orderFeaturesOrder features, based on their ability to discriminate
pcpconvenience version of the singular value decomposition
plotTrainTestPlot predictions for both a I/II train/test split, and the...
qqthina version of qqplot() that thins out points that overplot
scoreplotPlot discriminant function scores, with various...
simulateScoresGenerate linear discriminant scores from random data, after...
hddplot documentation built on June 16, 2018, 1:35 p.m.