B C D E I J L M N P R S T U V W Y
bin.color | Internal Functions |
breast.tumors | Human Breast Tumors Data |
check.one.level | Internal Functions |
cim | Clustered Image Maps (CIMs) ("heat maps") |
cim.default | Clustered Image Maps (CIMs) ("heat maps") |
cim.pls | Clustered Image Maps (CIMs) ("heat maps") |
cim.rcc | Clustered Image Maps (CIMs) ("heat maps") |
cim.spls | Clustered Image Maps (CIMs) ("heat maps") |
data.simu | Simulation study for multilevel analysis |
estim.regul | Estimate the parameters of regularization for Regularized CCA |
estim.regul.default | Estimate the parameters of regularization for Regularized CCA |
ica.def | Internal Functions |
ica.par | Internal Functions |
image.estim.regul | Plot the cross-validation score. |
image.tune.rcc | Plot the cross-validation score. |
imgCor | Image Maps of Correlation Matrices between two Data Sets |
ipca | Independent Principal Component Analysis |
jet.colors | Jet Colors Palette |
linnerud | Linnerud Dataset |
liver.toxicity | Liver Toxicity Data |
loo | Internal Functions |
map | Internal Functions |
mat.rank | Matrix Rank |
Mfold | Internal Functions |
multidrug | Multidrug Resistence Data |
multilevel | Multilevel analysis for repeated measurements (cross-over design) |
multilevel.spls | Multilevel analysis for repeated measurements (cross-over design) |
multilevel.splsda | Multilevel analysis for repeated measurements (cross-over design) |
nearZeroVar | Identification of zero- or near-zero variance predictors |
network | Relevance Network for (r)CCA and (s)PLS regression |
network.default | Relevance Network for (r)CCA and (s)PLS regression |
network.pls | Relevance Network for (r)CCA and (s)PLS regression |
network.rcc | Relevance Network for (r)CCA and (s)PLS regression |
network.spls | Relevance Network for (r)CCA and (s)PLS regression |
nipals | Non-linear Iterative Partial Least Squares (NIPALS) algorithm |
nutrimouse | Nutrimouse Dataset |
pca | Principal Components Analysis |
pcasvd | Internal Functions |
pcatune | Tune the number of principal components in PCA |
perf | Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA |
perf.pls | Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA |
perf.plsda | Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA |
perf.spls | Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA |
perf.splsda | Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA |
pheatmap.multilevel | Clustered heatmap |
pheatmap.multilevel.splsda1fact | Clustered heatmap |
pheatmap.multilevel.splsda2fact | Clustered heatmap |
plot.perf | Plot for model performance |
plot.rcc | Canonical Correlations Plot |
plot3dIndiv | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.pca | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.pls | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.plsda | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.rcc | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.spca | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.spls | Plot of Individuals (Experimental Units) in three dimensions |
plot3dIndiv.splsda | Plot of Individuals (Experimental Units) in three dimensions |
plot3dVar | Plot of Variables in three dimensions |
plot3dVar.pca | Plot of Variables in three dimensions |
plot3dVar.pls | Plot of Variables in three dimensions |
plot3dVar.plsda | Plot of Variables in three dimensions |
plot3dVar.rcc | Plot of Variables in three dimensions |
plot3dVar.spca | Plot of Variables in three dimensions |
plot3dVar.spls | Plot of Variables in three dimensions |
plot3dVar.splsda | Plot of Variables in three dimensions |
plotIndiv | Plot of Individuals (Experimental Units) |
plotIndiv.pca | Plot of Individuals (Experimental Units) |
plotIndiv.pls | Plot of Individuals (Experimental Units) |
plotIndiv.plsda | Plot of Individuals (Experimental Units) |
plotIndiv.rcc | Plot of Individuals (Experimental Units) |
plotIndiv.rgcca | Plot of Individuals (Experimental Units) |
plotIndiv.sgcca | Plot of Individuals (Experimental Units) |
plotIndiv.spca | Plot of Individuals (Experimental Units) |
plotIndiv.spls | Plot of Individuals (Experimental Units) |
plotIndiv.splsda | Plot of Individuals (Experimental Units) |
plotVar | Plot of Variables |
plotVar.pca | Plot of Variables |
plotVar.pls | Plot of Variables |
plotVar.plsda | Plot of Variables |
plotVar.rcc | Plot of Variables |
plotVar.rgcca | Plot of Variables |
plotVar.sgcca | Plot of Variables |
plotVar.spca | Plot of Variables |
plotVar.spls | Plot of Variables |
plotVar.splsda | Plot of Variables |
pls | Partial Least Squares (PLS) Regression |
plsda | Partial Least Squares Discriminate Analysis (PLS-DA). |
predict.pls | Predict Method for PLS, sPLS, PLS-DA or sPLS-DA |
predict.plsda | Predict Method for PLS, sPLS, PLS-DA or sPLS-DA |
predict.spls | Predict Method for PLS, sPLS, PLS-DA or sPLS-DA |
predict.splsda | Predict Method for PLS, sPLS, PLS-DA or sPLS-DA |
Print Methods for CCA, (s)PLS, PCA and Summary objects | |
print.pca | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.pls | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.rcc | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.rgcca | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.sgcca | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.spca | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.spls | Print Methods for CCA, (s)PLS, PCA and Summary objects |
print.summary | Print Methods for CCA, (s)PLS, PCA and Summary objects |
prostate | Human Prostate Tumors Data |
rcc | Regularized Canonical Correlation Analysis |
rcc.default | Regularized Canonical Correlation Analysis |
s.match | Plot of Paired Coordinates |
scatterutil.base | Graphical utility functions from ade4 |
scatterutil.eti | Graphical utility functions from ade4 |
scatterutil.grid | Graphical utility functions from ade4 |
select.var | Output of selected variables |
select.var.sgcca | Output of selected variables |
select.var.sipca | Output of selected variables |
select.var.spca | Output of selected variables |
select.var.spls | Output of selected variables |
select.var.splsda | Output of selected variables |
sipca | Independent Principal Component Analysis |
spca | Sparse Principal Components Analysis |
Split.variation.one.level | Internal Functions |
Split.variation.two.level | Internal Functions |
spls | Sparse Partial Least Squares (sPLS) |
splsda | Sparse Partial Least Squares Discriminate Analysis (sPLS-DA) |
srbct | Small version of the small round blue cell tumors of childhood data |
summary | Summary Methods for CCA and PLS objects |
summary.pls | Summary Methods for CCA and PLS objects |
summary.rcc | Summary Methods for CCA and PLS objects |
summary.spls | Summary Methods for CCA and PLS objects |
tune.multilevel | Tuning functions for multilevel analyses |
tune.pca | Tune the number of principal components in PCA |
tune.rcc | Estimate the parameters of regularization for Regularized CCA |
tune.rcc.default | Estimate the parameters of regularization for Regularized CCA |
tune.splsdalevel1 | Tuning functions for multilevel analyses |
tune.splsdalevel2 | Tuning functions for multilevel analyses |
tune.splslevel | Tuning functions for multilevel analyses |
unmap | Internal Functions |
vac18 | Vaccine study Data |
valid | Compute validation criterion for PLS, sPLS, PLS-DA and sPLS-DA |
vip | Variable Importance in the Projection (VIP) |
wrapper.rgcca | mixOmics wrapper for Regularised Generalised Canonical Correlation Analysis (rgcca) |
wrapper.sgcca | mixOmics wrapper for Sparse Generalised Canonical Correlation Analysis (sgcca) |
yeast | Yeast metabolomic study |