Assessment performance overview

The function plots costs of grouping for each subject in every group. Performance measures printed are fill: fraction of filling relative to the capacity specified; mean: mean priority/cost in group; n: number of subjects in the group.

Usage

grouping_plot(
  data,
  columns = 4,
  overall = FALSE,
  viridis.option = "D",
  viridis.direction = -1
)

Arguments

data

A "prioritized_groups_list" class list from 'prioritized_grouping()'

columns

number of columns in plot. Default=4.

overall

logical to only print overall groups mean priority/cost

viridis.option

option value passed on to 'viridisLite::viridis'. Default="D".

viridis.direction

direction value passed on to 'viridisLite::viridis'. Default=-1.

Value

ggplot2 list object

Examples

#read.csv(here::here("data/prioritized_sample.csv")) |>
#  prioritized_grouping(cap_classes = sample(4:12, 17, TRUE)) |>
#  grouping_plot()
data.frame(id=paste0("id",1:100),
matrix(replicate(100,sample(c(1:5,rep(NA,15)),10)),ncol=10,byrow = TRUE)) |>
prioritized_grouping() |> grouping_plot(overall=TRUE)
#> Loading required namespace: ROI
#> Loading required namespace: ROI.plugin.symphony