lpda |
Computing discriminating hyperplane for two groups |
lpda.3D |
Classification with lpda for 3way array data |
lpda.fit |
lpda.fit computes the discriminating hyperplane for two groups |
lpda.pca |
lpda.pca computes a PCA to the original data and selects the desired PCs when Variability is supplied |
lpdaCV |
Crossvalidation procedure for lpda evaluation |
lpdaCV.3D |
Crossvalidation procedure for lpda3D evaluation |
palmdates |
Spectrometry and composition chemical of Spanish and Arabian palm dates |
PCA |
Principal Component Analysis |
plot.lpda |
Plot method for lpda classification |
plot.lpda.3D |
Plot method for lpda classification |
predict.lpda |
Predict method for lpda classification |
predict.lpda.3D |
Predict method for lpda.3D classification |
print.lpda |
Computing discriminating hyperplane for two groups |
print.lpda.3D |
Classification with lpda for 3way array data |
print.lpdaCV |
Crossvalidation procedure for lpda evaluation |
print.predict.lpda |
Predict method for lpda classification |
print.predict.lpda.3D |
Predict method for lpda.3D classification |
print.summary.lpda |
Summarizing lpda classification |
print.summary.lpda.3D |
Summarizing lpda.3D classification |
RNAseq |
Simulated RNA-Seq Time Series 3-dimensional dataset example |
stand |
stand center and scale a data matrix |
stand2 |
stand2 center and scale a data matrix with the parameters of another one |
summary.lpda |
Summarizing lpda classification |
summary.lpda.3D |
Summarizing lpda.3D classification |