bpca |
Bayesian PCA Missing Value Estimator |
checkData |
Do some basic checks on a given data matrix |
completeObs,pcaRes-method |
Class for representing a PCA result |
kEstimate |
Estimate best number of Components for missing value estimation |
metaboliteData |
An incomplete metabolite data set from an Arabidopsis coldstress experiment |
metaboliteDataComplete |
A complete metabolite data set from an Arabidopsis coldstress experiment |
nipalsPca |
Perform principal component analysis using the Non-linear iterative partial least squares (NIPALS) algorithm. |
pca |
Perform principal component analysis |
pcaRes |
Class for representing a PCA result |
pcaRes-class |
Class for representing a PCA result |
plotPcs |
Plot many side by side scores XOR loadings plots |
ppca |
Probabilistic PCA Missing Value Estimator |
prep |
Preprocess a matrix for PCA |
print,pcaRes-method |
Class for representing a PCA result |
Q2 |
Perform internal cross-validation for PCA |
slplot |
Plot a side by side scores and loadings plot |
slplot,pcaRes-method |
Class for representing a PCA result |
summary,pcaRes-method |
Class for representing a PCA result |
svdImpute |
SVDimpute algorithm |
svdPca |
Perform principal component analysis using singular value decomposition |