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
View source: R/rmweather_plotting_functions.R
rmw_plot_importance R Documentation
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 June 22, 2024, 9:33 a.m.
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View source: R/rmweather_plotting_functions.R
| rmw_plot_importance | R Documentation |
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 |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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