Category Archives: Graphics

(s)PLS-DA update

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

Posted in Case Studies, Graphics, Methods, News, Publications, Research | Comments Off on (s)PLS-DA update

(s)PLS-DA added

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

Posted in Case Studies, Graphics, Methods, News, Publications, Research | Comments Off on (s)PLS-DA added

3D plots

3D representation to display samples and variables for (r)CCA 3D representation to display samples and variables for (s)PLS The argument scaleY has been added to the pls and spls functions (s)PLS can also be applied when there is only 1 predictor variable

Posted in Graphics, News | Comments Off on 3D plots