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Andreas Gammelgaard Damsbo
3b035ab06f
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42 lines
1.1 KiB
R
42 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/prioritized_grouping.R
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\name{grouping_plot}
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\alias{grouping_plot}
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\title{Assessment performance overview}
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\usage{
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grouping_plot(
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data,
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columns = NULL,
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overall = FALSE,
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viridis.option = "D",
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viridis.direction = -1
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)
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}
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\arguments{
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\item{data}{A "prioritized_groups_list" class list from
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'prioritized_grouping()'}
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\item{columns}{number of columns in plot}
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\item{overall}{logical to only print overall groups mean priority/cost}
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\item{viridis.option}{option value passed on to 'viridisLite::viridis'.
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Default="D".}
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\item{viridis.direction}{direction value passed on to 'viridisLite::viridis'.
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Default=-1.}
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}
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\value{
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ggplot2 list object
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}
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\description{
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The function plots costs of grouping for each subject in every group.
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Performance measures printed are fill: fraction of filling relative to the
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capacity specified; mean: mean priority/cost in group; n: number of subjects
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in the group.
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}
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\examples{
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#read.csv(here::here("data/prioritized_sample.csv")) |>
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# prioritized_grouping(cap_classes = sample(4:12, 17, TRUE)) |>
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# grouping_plot()
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}
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