explained_variance: Calculation of explained variance
In mixOmics: Omics Data Integration Project

Description Usage Arguments Details Value Author(s) See Also Examples

This function calculates the variance explained by variates.

1	explained_variance(data, variates, ncomp)

`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`

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

explained_variance simply returns the explained variance for each variate.

Florian Rohart

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

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