mixOmics (version 6.2.0)

explained_variance: Calculation of explained variance

Description

This function calculates the variance explained by variates.

Usage

explained_variance(data, variates, ncomp)

Arguments

data

numeric matrix of predictors

variates

variates as obtained from a pls object for instance

ncomp

number of components. Should be lower than the number of columns of variates

Value

explained_variance simply returns the explained variance for each variate.

Details

explained_variance calculates the explained variance of each variates out of the total variance in data.

See Also

spls, splsda, plotIndiv, plotVar, cim, network.

Examples

# NOT RUN {
data(liver.toxicity)
X <- liver.toxicity$gene
Y <- liver.toxicity$clinic

toxicity.spls <- spls(X, Y, ncomp = 2, keepX = c(50, 50), keepY = c(10, 10))

ex = explained_variance(toxicity.spls$X, toxicity.spls$variates$X, ncomp =2)

# ex should be the same as
toxicity.spls$explained_variance$X

# }