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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
function
valid
function can also been performed with missing values
Functions pls
, plsda
, spls
and splsda
were modified to identify zero- or near-zero variance predictors
The functions plotVar
and plot3dVar
were modified to represent only the X variables in the case of PLS-DA and SPLS-DA
The pca
function has been improved so that the S3 methods plotIndiv
, plot3dIndiv
, plotVar
and plot3dVar
can be used with these new classe
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 thepredict
function
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 (updated) to display relevant associations between variables for (r)CCA and (s)PLS, with a new similarity function
A new similarity measure has been included in cim
function and the arguments hclusfunc
and distfunc
to display Clustered image maps (heatmaps)
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