explained_variance {mixOmics} | R Documentation

## 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`

### Details

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

### Value

`explained_variance` simply returns the explained variance for each variate.

### Author(s)

Florian Rohart

### See Also

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

### Examples

    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

[Package mixOmics version 6.10.9 Index]