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Andreas Gammelgaard Damsbo
a576a580db
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43 lines
1.4 KiB
R
43 lines
1.4 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{prioritized_grouping}
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\alias{prioritized_grouping}
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\title{Solve grouping based on priorities or costs.}
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\usage{
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prioritized_grouping(
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data,
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cap_classes = NULL,
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excess_space = 20,
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pre_grouped = NULL,
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seed = 6293812
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)
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}
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\arguments{
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\item{data}{data set in wide format. First column should be ID, then one column
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for each group containing cost/priorities.}
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\item{cap_classes}{class capacity. Numeric vector length 1 or length=number
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of groups. If NULL equal group sizes are calculated. Default is NULL.}
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\item{excess_space}{allowed excess group fill in percentage. Default is 20.
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Supplied group capacities will be enlarged by this factors and rounded up.}
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\item{pre_grouped}{Pre grouped data set. Optional. Should contain two
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columns, 'id' and 'group', with 'group' containing the given group index.}
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\item{seed}{specify a seed value. For complex problems.}
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}
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\value{
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list of custom class 'prioritized_groups_list'
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}
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\description{
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Solve grouping based on priorities or costs.
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}
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\examples{
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# prioritized_grouping(
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# data=read.csv(here::here("data/prioritized_sample.csv")),
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# pre_grouped=read.csv(here::here("data/pre_grouped.csv"))) |> plot()
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data.frame(id=paste0("id",1:100),
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matrix(replicate(100,sample(c(1:5,rep(NA,15)),10)),ncol=10,byrow = TRUE)) |>
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prioritized_grouping()
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}
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