Golub                   Golub data (7129 rows by 72 columns), after
                        normalization
accTrainTest            Two subsets of data each take in turn the role
                        of test set
aovFbyrow               calculate aov F-statistic for each row of a
                        matrix
cvdisc                  Cross-validated accuracy, in linear
                        discriminant calculations
cvscores                For high-dimensional data with known groups,
                        derive scores for plotting
defectiveCVdisc         defective accuracy assessments from linear
                        discriminant calculations
divideUp                Partition data into mutiple nearly equal
                        subsets
golubInfo               Classifying factors for the 72 columns of the
                        Golub data set
hddplot-package         Use Known Groups in High-Dimensional Data to
                        Derive Scores for Plots
orderFeatures           Order features, based on their ability to
                        discriminate
pcp                     convenience version of the singular value
                        decomposition
plotTrainTest           Plot predictions for both a I/II train/test
                        split, and the reverse
qqthin                  a version of qqplot() that thins out points
                        that overplot
scoreplot               Plot discriminant function scores, with various
                        identification
simulateScores          Generate linear discriminant scores from random
                        data, after selection
