| plot.pcaCoDa {robCompositions} | R Documentation |
Provides a screeplot and biplot for (robust) compositional principal components analysis.
## S3 method for class 'pcaCoDa' plot(x, y, ..., which = 1, choices = 1:2)
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 |
The robust compositional screeplot.
M. Templ, K. Hron
Filzmoser, P., Hron, K., Reimann, C. (2009) Principal Component Analysis for Compositional Data with Outliers. Environmetrics, 20 (6), 621–632.
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)