plot.pcaCoDa: Plot method

In robCompositions: Compositional Data Analysis

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)

robCompositions documentation built on Aug. 25, 2023, 5:13 p.m.