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data.R
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data.R
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#' Simulated normal data
#' @format A data frame with 200 rows and 10 variables:
#' \describe{
#' \item{a}{variable a}
#' \item{b}{variable b}
#' \item{c}{variable c}
#' \item{d}{variable d}
#' \item{e}{variable e}
#' \item{f}{variable f}
#' \item{g}{variable g}
#' \item{h}{variable h}
#' \item{i}{variable i}
#' \item{j}{variable j}
#' }
#' @source package author
"normal_df"
#' Simulated normal data with annotations
#' @format A data frame with 200 rows and 10 variables:
#' \describe{
#' \item{a}{variable a}
#' \item{b}{variable b}
#' \item{c}{variable c}
#' \item{d}{variable d}
#' \item{e}{variable e}
#' \item{f}{variable f}
#' \item{g}{variable g}
#' \item{h}{variable h}
#' \item{i}{variable i}
#' \item{j}{variable j}
#' \item{annot}{annotation column}
#' }
#' @source package author
"normal_annotated"
#' Simulated normal data with missing values
#' @format A data frame with 200 rows and 10 variables:
#' \describe{
#' \item{a}{variable a}
#' \item{b}{variable b}
#' \item{c}{variable c}
#' \item{d}{variable d}
#' \item{e}{variable e}
#' \item{f}{variable f}
#' \item{g}{variable g}
#' \item{h}{variable h}
#' \item{i}{variable i}
#' \item{j}{variable with randomly missing values}
#' }
#' @source package author
"normal_missing"
#' Simulated logscaled data
#' @format A data frame with 200 rows and 10 variables:
#' \describe{
#' \item{a}{variable a}
#' \item{b}{variable b}
#' \item{c}{variable c}
#' \item{d}{variable d}
#' \item{e}{variable e}
#' \item{f}{variable f}
#' \item{g}{variable g}
#' \item{h}{variable h}
#' \item{i}{variable i}
#' \item{j}{variable j}
#' }
#' @source package author
"logscaled_df"
#' Simulated binary data
#' @format A data frame with 200 rows and 10 variables:
#' \describe{
#' \item{a}{variable a}
#' \item{b}{variable b}
#' \item{c}{variable c}
#' \item{d}{variable d}
#' \item{e}{variable e}
#' \item{f}{variable f}
#' \item{g}{variable g}
#' \item{h}{variable h}
#' \item{i}{variable i}
#' \item{j}{variable j}
#' }
#' @source package author
"bin_df"