plotPcs {pcaMethods} | R Documentation

## Plot many side by side scores XOR loadings plots

### Description

A function that can be used to visualise many PCs plotted against each other

### Usage

    plotPcs(object, pcs = 1:nP(object), type = c("scores", "loadings"),
      sl = NULL, hotelling = 0.95, ...)

### Arguments

`object` | `pcaRes` a pcaRes object
`pcs` | `numeric` which pcs to plot
`type` | `character` Either "scores" or "loadings" for scores or loadings plot respectively
`sl` | `character` Text labels to plot instead of a point, if NULL points are plotted instead of text
`hotelling` | `numeric` Significance level for the confidence ellipse. NULL means that no ellipse is drawn.
`...` | Further arguments to `pairs` on which this function is based.

### Details

Uses `pairs` to provide side-by-side plots. Note that this function only plots scores or loadings but not both in the same plot.

### Value

None, used for side effect.

### Author(s)

Henning Redestig

### See Also

`prcomp`, `pca`, `princomp`, `slplot`

### Examples

    data(iris)
    pcIr <- pca(iris[,1:4], nPcs=3,  method="svd")
    plotPcs(pcIr, col=as.integer(iris[,4]) + 1)

[Package pcaMethods version 1.76.0 Index]