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plot.pcaCoDa

Plot method

Description

Provides a screeplot for (robust) compositional principal components analysis.

Usage

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

Arguments

x

object of class ‘pcaCoDa’
y

...
...

...

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

Examples

data(coffee)
p1 <- pcaCoDa(coffee[,-1])
plot(p1)
plot(p1, type="lines")
robCompositions

Compositional Data Analysis

v2.3.0
GPL (>= 2)
Authors
Matthias Templ [aut, cre] (<https://orcid.org/0000-0002-8638-5276>), Karel Hron [aut] (<https://orcid.org/0000-0002-1847-6598>), Peter Filzmoser [aut] (<https://orcid.org/0000-0002-8014-4682>), Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio [ctb] (<https://orcid.org/0000-0003-0682-6412>), Alessia Di Blasi [ctb], Federico Pavone [ctb], Gianluca Zeni [ctb]
Initial release
2020-11-18

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