biplot.pcaCoDa: Biplot method

In robCompositions: Compositional Data Analysis

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))

robCompositions documentation built on Sept. 20, 2021, 5:07 p.m.