rmw_plot_importance: Function to plot random forest variable importances after...

In rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

Function to plot random forest variable importances after training by rmw_train_model.

Description

Function to plot random forest variable importances after training by rmw_train_model.

Usage

rmw_plot_importance(df, colour = "black")

Arguments

df	Data frame created by rmw_model_importance.
colour	Colour of point and segment geometries.

Value

ggplot2 plot with point and segment geometries.

Author(s)

Stuart K. Grange

See Also

rmw_train_model, rmw_model_importance

rmweather documentation built on Nov. 21, 2023, 5:06 p.m.