plsda_vip_summary_plot {structToolbox} | R Documentation |
A plot of the Variable Importance for Projection (VIP) scores for a PLSDA model for the top selected features.
plsda_vip_summary_plot(n_features = 50, ...)
n_features |
(numeric, integer) The number of features to include in the summary. The default is |
... |
Additional slots and values passed to |
This object makes use of functionality from the following packages:
pls
ggplot2
reshape2
cowplot
A plsda_vip_summary_plot
object.
Mevik B, Wehrens R, Liland K (2020). pls: Partial Least Squares and Principal Component Regression. R package version 2.7-3, 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.
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.
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])