| biplot.pcaCoDa {robCompositions} | R Documentation |
Provides robust compositional biplots.
## S3 method for class 'pcaCoDa' biplot(x, y, ...)
x |
object of class ‘pcaCoDa’ |
y |
... |
... |
arguments passed to plot methods |
The robust compositional biplot according to Aitchison and Greenacre (2002),
computed from (robust) loadings and scores resulting from pcaCoDa, is performed.
The robust compositional biplot.
M. Templ, K. Hron
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.
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))