plsda_vip_summary_plot {structToolbox} | R Documentation

## PLSDA VIP summary plot

### Description

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

### Usage

    plsda_vip_summary_plot(n_features = 50, ...)

### Arguments

`n_features` | (numeric, integer) The number of features to include in the summary. The default is `50`.
`...` | Additional slots and values passed to `struct_class`.

### Details

This object makes use of functionality from the following packages:

- `pls`

- `ggplot2`

- `reshape2`

- `cowplot`

### Value

A `plsda_vip_summary_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.

Wickham H (2007). “Reshaping Data with the reshape Package.” Journal of Statistical Software, 21(12), 1–20. http://www.jstatsoft.org/v21/i12/.

Wilke C (2020). cowplot: Streamlined Plot Theme and Plot Annotations for 'ggplot2'. R package version 1.1.1, https://CRAN.R-project.org/package=cowplot.

### Examples

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

    C = plsda_vip_summary_plot(n_features=30)
    chart_plot(C,M[2])

[Package structToolbox version 1.6.1 Index]