Integrate Omics data project

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Documentation for package ‘integrOmics’ version 2.4

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cim Clustered Image Maps (CIMs) ("heat maps")
cim.default Clustered Image Maps (CIMs) ("heat maps")
cim.rcc Clustered Image Maps (CIMs) ("heat maps")
estim.regul Estimate the parameters of regularization for Regularized CCA
estim.regul.default Estimate the parameters of regularization for Regularized CCA
image.estim.regul Plot the cross-validation score.
imgCor Image Maps of Correlation Matrices between two Data Sets
imgCor.default Image Maps of Correlation Matrices between two Data Sets
jet.colors Jet Colors Palette
linnerud Linnerud Dataset
liver.toxicity Liver Toxicity Data
loo Regularized CCA Internal Functions
mat.rank Matrix Rank
Mfold Regularized CCA Internal Functions
multidrug Multidrug Resistence Data
network Relevance Network for (Regularized) CCA and (sparse) PLS regression
network.rcc Relevance Network for (Regularized) CCA and (sparse) PLS regression
network.spls Relevance Network for (Regularized) CCA and (sparse) PLS regression
nipals Non-linear Iterative Partial Least Squares (NIPALS) algorithm
nutrimouse Nutrimouse Dataset
plot.rcc Canonical Correlations Plot
plot3dIndiv Plot of Individuals (Experimental Units) in three dimensions
plot3dIndiv.pls Plot of Individuals (Experimental Units) in three dimensions
plot3dIndiv.rcc Plot of Individuals (Experimental Units) in three dimensions
plot3dIndiv.spls Plot of Individuals (Experimental Units) in three dimensions
plot3dVar Plot of Variables in three dimensions
plot3dVar.pls Plot of Variables in three dimensions
plot3dVar.rcc Plot of Variables in three dimensions
plot3dVar.spls Plot of Variables in three dimensions
plotIndiv Plot of Individuals (Experimental Units)
plotIndiv.pls Plot of Individuals (Experimental Units)
plotIndiv.rcc Plot of Individuals (Experimental Units)
plotIndiv.spls Plot of Individuals (Experimental Units)
plotVar Plot of Variables
plotVar.pls Plot of Variables
plotVar.rcc Plot of Variables
plotVar.spls Plot of Variables
pls Partial Least Squares (PLS) Regression
predict.pls Predict Method for PLS Regression and Sparse PLS
predict.spls Predict Method for PLS Regression and Sparse PLS
print Print Methods for CCA, (s)PLS and Summary objects
print.pls Print Methods for CCA, (s)PLS and Summary objects
print.rcc Print Methods for CCA, (s)PLS and Summary objects
print.spls Print Methods for CCA, (s)PLS and Summary objects
print.summary Print Methods for CCA, (s)PLS and Summary objects
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
spls Sparse Partial Least Squares (sPLS)
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
valid Compute validation criterion for PLS and Sparse PLS
vip Variable Importance in the Projection (VIP)