R: Biplot method

biplot.pcaCoDa {robCompositions} | R Documentation

## Biplot method

### Description

Provides robust compositional biplots.

### Usage

    ## S3 method for class 'pcaCoDa'
    biplot(x, y, ...)

### Arguments

`x` | object of class ‘pcaCoDa’
`y` | ...
`...` | arguments passed to plot methods

### Details

The robust compositional biplot according to Aitchison and Greenacre (2002), computed from (robust) loadings and scores resulting from `pcaCoDa`, is performed.

### Value

The robust compositional biplot.

### Author(s)

M. Templ, K. Hron

### References

Aitchison, J. and Greenacre, M. (2002). Biplots of compositional data. Applied Statistics, 51, 375-392. \

Filzmoser, P., Hron, K., Reimann, C. (2009) Principal component analysis for compositional data with outliers. Environmetrics, 20 (6), 621–632.

### See Also

`pcaCoDa`, `plot.pcaCoDa`

### Examples

    data(coffee)
    p1 <- pcaCoDa(coffee[,-1])
    p1
    biplot(p1)

    ## with labels for the scores:
    data(arcticLake)
    rownames(arcticLake) <- paste(sample(letters[1:26], nrow(arcticLake), replace=TRUE),
                                  1:nrow(arcticLake), sep="")
    pc <- pcaCoDa(arcticLake, method="classical")
    biplot(pc, xlabs=rownames(arcticLake))

[Package robCompositions version 2.2.1 Index]