зеркало из https://github.com/microsoft/wpa.git
50 строки
1.6 KiB
R
50 строки
1.6 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/create_rank.R
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\name{create_rank_combine}
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\alias{create_rank_combine}
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\title{Create combination pairs of HR variables and run 'create_rank()'}
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\usage{
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create_rank_combine(data, hrvar = extract_hr(data), metric, mingroup = 5)
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}
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\arguments{
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\item{data}{A Standard Person Query dataset in the form of a data frame.}
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\item{hrvar}{String containing the name of the HR Variable by which to split
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metrics. Defaults to \code{"Organization"}. To run the analysis on the total
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instead of splitting by an HR attribute, supply \code{NULL} (without quotes).}
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\item{metric}{Character string containing the name of the metric,
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e.g. "Collaboration_hours"}
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\item{mingroup}{Numeric value setting the privacy threshold / minimum group
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size. Defaults to 5.}
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}
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\value{
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Data frame containing the following variables:
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\itemize{
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\item \code{hrvar}: placeholder column that denotes the output as \code{"Combined"}.
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\item \code{group}: pairwise combinations of HR attributes with the HR attribute
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in square brackets followed by the value of the HR attribute.
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\item Name of the metric (as passed to \code{metric})
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\item \code{n}
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}
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}
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\description{
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Create pairwise combinations of HR variables and compute an average of a
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specified Workplace Analytics metric.
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}
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\details{
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This function is called when the \code{mode} argument in \code{create_rank()} is
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specified as \code{"combine"}.
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}
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\examples{
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# Use a small sample for faster runtime
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sq_data_small <- dplyr::slice_sample(sq_data, prop = 0.1)
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create_rank_combine(
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data = sq_data_small,
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metric = "Email_hours"
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)
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}
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