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Plots the regression coefficients of a PLSDA model.

Plots the regression coefficient scores of a PLSDA model

Usage

pls_regcoeff_plot(ycol = 1, ...)

Arguments

ycol

(character, numeric, integer) The Y column to plot. The default is 1.

...

additional slots and values passed to struct_class

Value

A pls_regcoeff_plot object. This object has no output slots. See chart_plot in the struct package to plot this chart object.

struct object

Details

This object makes use of functionality from the following packages:

  • pls

  • ggplot2

Inheritance

A pls_regcoeff_plot object inherits the following struct classes:

[pls_regcoeff_plot] >> [chart] >> [struct_class]

References

Liland K, Mevik B, Wehrens R (2023). pls: Partial Least Squares and Principal Component Regression. R package version 2.8-3, https://CRAN.R-project.org/package=pls.

Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4, https://ggplot2.tidyverse.org.

Examples

M = pls_regcoeff_plot(
      ycol = 1)

D = iris_DatasetExperiment()
M = mean_centre()+PLSDA(factor_name='Species')
M = model_apply(M,D)

C = pls_regcoeff_plot(ycol='setosa')
chart_plot(C,M[2])