`vimpPlot.Rd`

Plot the variable importance for a BART model with the 25 quantile.

vimpPlot( trees, type = "prop", plotType = "barplot", metric = "median", combineFact = FALSE )

trees | A data frame created by `extractTreeData` function. |
---|---|

type | What value to return. Either the raw count 'count' or the proportions 'prop' averaged over iterations. |

plotType | Which type of plot to return. Either a barplot 'barplot' with the quantiles shown as a line, a point plot with the quantiles shown as a gradient 'point', or a letter-value plot 'lvp'. |

metric | Whether to show the 'mean' or 'median' importance values. Note, this has no effect when using plotType = 'lvp'. |

combineFact | If a variable is a factor in a data frame, when building the BART model it is replaced with dummies. Note that q dummies are created if q>2 and one dummy is created if q=2, where q is the number of levels of the factor. If combineFact = TRUE, then the importance is calculated for the entire factor by aggregating the dummy variables’ inclusion proportions. |

A plot of variable importance.

if (FALSE) { df_trees <- extractTreeData(model = my_model, data = my_data) vimpPlot(trees = df_trees, plotType = 'point') }