#' 1,000 observations from a normal distribution
#'
#' A data frame containing 1,000 observations drawn from a normal distribution
#' (mean = 0, sd = 1).
#'
#'
#' @format A data frame with 1000 rows and 2 variables:
#' \itemize{
#' \item obs: Numeric value precise to one decimal place drawn from a normal distribution.
#' \item group: An numeric indicator variable with a value from 1 - 10.
#' }
#'
"simulated_normal"
#' 1,000 simulated adult body weights
#'
#' A data frame containing 1,000 observations drawn from a normal distribution
#' (mean = 75, sd = 10).
#'
#'
#' @format A data frame with 1000 rows and 2 variables:
#' \itemize{
#' \item obs: Numeric value precise to one decimal place drawn from a normal distribution.
#' \item group: An numeric indicator variable with a value from 1 - 10.
#' }
#'
"bodyweight"
#' 3,320 observations from a decoy experiment
#'
#' A data frame containing 3,320 observations (with NA's) from the third round
#' of a decoy experiment involving hand-washing purportedly carried out in a
#' number of factories in China.
#'
#' This series of experiments was published in
#' an article in Psychological Science in 2018. Subsequently, Frank Yu, Leif
#' Nelson, and Uri Simonsohn argued that the data for the experiments could
#' not be \href{http://datacolada.org/74}{trusted},and Simonsohn developed
#' number-bunching in relation to his analysis of the \href{http://datacolada.org/77}{data}.
#' The article was eventually
#' \href{https://journals.sagepub.com/doi/10.1177/0956797618761374}{retracted}.
#' The original data is available on \href{https://osf.io/k8tv2}{OSF}. This data
#' frame consists of the data contained in the tab named "Study3-sanitizer usage(grams)".
#'
#' @format A data frame with 3320 rows and 4 variables:
#' \itemize{
#' \item subject: Not sure what this variable represents.
#' \item workroom: The room for which the sanitizer weight is recorded.
#' \item day: The day of the experiment the sanitizer was weighted
#' \item value: The weight in grams for the sanitizer.
#' }
#'
"decoy_3"
. <- NULL
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