plsda_vip_plot {structToolbox} | R Documentation

## PLSDA VIP plot

### Description

A plot of the Variable Importance for Projection (VIP) scores for a PLSDA model.

### Usage

    plsda_vip_plot(threshold = 1, level, ...)

### Arguments

`threshold` | (numeric, integer) The threshold for indicating significant features. The default is `1`.
`level` | (character) The factor level (group) to plot.
`...` | Additional slots and values passed to `struct_class`.

### Details

This object makes use of functionality from the following packages:

- `pls`

- `ggplot2`

### Value

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

### References

Liland K, Mevik B, Wehrens R (2021). pls: Partial Least Squares and Principal Component Regression. R package version 2.8-0, 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

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

    C = plsda_vip_plot(level='setosa')
    chart_plot(C,M[2])

[Package structToolbox version 1.6.1 Index]