pcanova_plots: PC-ANOVA Result Methods

In HDANOVA: High-Dimensional Analysis of Variance

PC-ANOVA Result Methods

Description

Various plotting procedures for pcanova objects.

Usage

## S3 method for class 'pcanova'
scoreplot(object, factor = 1, comps = 1:2, col = "factor", ...)

Arguments

object	pcanova object.
factor	integer/character for selecting a model factor.
comps	integer vector of selected components.
col	character for selecting a factor to use for colouring (default = first factor) or ordinary colour specifications.
...	additional arguments to underlying methods.

Details

Usage of the functions are shown using generics in the examples in pcanova. Plot routines are available as scoreplot.pcanova and loadingplot.pcanova.

Value

The plotting routines have no return.

References

Luciano G, Næs T. Interpreting sensory data by combining principal component analysis and analysis of variance. Food Qual Prefer. 2009;20(3):167-175.

See Also

Main methods: asca, apca, limmpca, msca, pcanova, prc and permanova. Workhorse function underpinning most methods: hdanova. Extraction of results and plotting: asca_results, asca_plots, pcanova_results and pcanova_plots

HDANOVA documentation built on April 12, 2025, 2:16 a.m.