% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/prioritized_grouping.R
\name{grouping_plot}
\alias{grouping_plot}
\title{Assessment performance overview}
\usage{
grouping_plot(
  data,
  columns = 4,
  overall = FALSE,
  viridis.option = "D",
  viridis.direction = -1
)
}
\arguments{
\item{data}{A "prioritized_groups_list" class list from
'prioritized_grouping()'}

\item{columns}{number of columns in plot. Default=4.}

\item{overall}{logical to only print overall groups mean priority/cost}

\item{viridis.option}{option value passed on to 'viridisLite::viridis'.
Default="D".}

\item{viridis.direction}{direction value passed on to 'viridisLite::viridis'.
Default=-1.}
}
\value{
ggplot2 list object
}
\description{
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.
}
\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)
}