Category Archives: Publications

New function pca and spca are now available to perform Principal Component Analysis (PCA) and sparse PCA for variable selection The S3 methods plotVar, plot3dVar, plotIndiv, plot3dIndiv were modified to generate graphical results for pca and spca

New function plot.valid to display the results of the valid function New code for imgCor function for a nicer representation of the correlation matrices In predict function the argument ‘method’ were replaced by method = c(“max.dist”, “class.dist”, “centroids.dist”, “mahalanobis.dist”) The arguments dendrogram, ColSideColors and RowSideColors were added to the cim … Continue reading →

Currently improving the pca and nipals for further graphical outputs

plsda and splsda have been further improved so that all the S3 functions predict, print, plotIndiv, plot3dIndiv can be used with these new classes Several prediction methods are now available to predict the classes of test data with plsda andsplsda, see argument ‘method’ (max.dist, class.dist, centroids.dist, mahalanobis.dist) in … Continue reading →

plsda and splsda functions are implemented to perform PLS Discriminant Analysis (PLS-DA) and sparse PLS-DA respectively breast.tumors data set is introduced to illustrate the (s)PLS-DA PCA can also been performed with missing values using the NIPALS algorithm and 3D plots are also available for PCA Network … Continue reading →