plot_importance: Plot variable importance

In NINAnor/oneimpact: Tools for the assessment of the cumulative impacts of anthropogenic features in ecological studies

Plot variable importance

Description

Plot variable importance

Usage

plot_importance(
  importance,
  remove_threshold = -1,
  normalize = TRUE,
  plot_type = c("barplot", "boxplot")[1],
  summ_stat = c(FALSE, "mean", "median")[1],
  by = c(FALSE, "blockH0", "variable")[1],
  scales = c("fixed", "free_y", "free_x", "free")
)

Arguments

importance	⁠[numeric]⁠ Numeric vector showing the importance score of each variable, resulting from variable_importance().
remove_threshold	⁠[numeric(1)=0]⁠ Only importance scores above this level will be plotted. Default is 0, in case which all null variables will be removed. To plot all variables, set remove_threshold as -1 or any other negative value.
normalize	⁠[logical(1)=TRUE]⁠ If TRUE, the variable importance scores are dividing the the maximum score, so that the score of the most important variable is set to 1.
plot_type	⁠[character="barplot"]{"barplot", "boxplot"}⁠ Whether the plot should be a barplot (default) or a boxplot. The boxplot is only meaningful if summ_stat != FALSE (median or mean) and if the importance is computed for blocks (by = "blockH0").
summ_stat	⁠[string(1)=FALSE]⁠ Name of a summary statistic to be computed across blocks H0 (areas, herd, populations) for each variable. This is valid only when variable importance was computed bor each block H0, with the parameter colH0 provided (i.e., not NULL) within the function variable_importance(). Default is FALSE, in case which variable importance is plotted for each block H0. The only summary stat implemented is "mean" and "median" (the variable importance plotted is the average/median across blocks), but others might be implemented.
by	⁠[character=FALSE]{FALSE, "blockH0", "variable"}⁠ If by = FALSE (default), a single plot is made. If by = "blockH0", the variable importance if plotted for each block H0 (e.g. population, area) if plot_type = "barplot" (with the variables as a category in each plot), and as a single boxplot plot if plot_type = "boxplot". If by = "variable", the plot is made separately for each variable, with blocks H0 as a category in each plot.
scales	⁠[character="fixed"]{"fixed", "free_x", "free_y", "free}⁠ Scale/range of the axes when facets are used in the plots, when by is not FALSE. See the parameter scales in ggplot2::facet_wrap() for more information.

NINAnor/oneimpact documentation built on June 14, 2025, 12:27 a.m.