R: Plot method

plot.pcaCoDa {robCompositions} | R Documentation

## Plot method

### Description

Provides a screeplot and biplot for (robust) compositional principal components analysis.

### Usage

    ## S3 method for class 'pcaCoDa'
    plot(x, y, ..., which = 1, choices = 1:2)

### Arguments

`x` | object of class ‘pcaCoDa’
`y` | ...
`...` | ...
`which` | an integer between 1 and 3. Produces a screeplot (1), or a biplot using stats biplot.prcomp function (2), or a biplot using ggfortify's autoplot function (3).
`choices` | principal components to plot by number

### Value

The robust compositional screeplot.

### Author(s)

M. Templ, K. Hron

### References

Filzmoser, P., Hron, K., Reimann, C. (2009) Principal Component Analysis for Compositional Data with Outliers. Environmetrics, 20 (6), 621–632.

### See Also

`pcaCoDa`, `biplot.pcaCoDa`

### Examples

    data(coffee)
    ## Not run:
    p1 <- pcaCoDa(coffee[,-1])
    plot(p1)
    plot(p1, type="lines")
    plot(p1, which = 2)
    plot(p1, which = 3)

    ## End(Not run)

[Package robCompositions version 2.3.1 Index]