R/data.R

#' Weight Lifting Exercises data from the Human Activity Recognition project.
#'
#' A data set containing activity sensor measurements for six participants
#' performing dumbbell bicep curls.
#'
#' @format A data frame with 39,242 observations of 159 variables.
#'
#' @docType data
#' @keywords datasets
#' @usage data(wlehar)
#' @source \url{http://groupware.les.inf.puc-rio.br/har#weight_lifting_exercises}
#' @references \url{http://groupware.les.inf.puc-rio.br/work.jsf?p1=11201}
"wlehar"

#' Weight Lifting Exercises training data.
#'
#' @format A data frame with 19,622 observations of 159 variables.
#' @docType data
#' @keywords datasets
#' @usage data(wlehar_jhu_training)
#' @source Practical Machine Learning by John Hopkins University
#'  \url{https://d396qusza40orc.cloudfront.net/predmachlearn/pml-training.csv}
#' @seealso \code{\link{wlehar}} for original data set.
"wlehar_jhu_training"

#' Weight Lifting Exercises testing data.
#'
#' @format A data frame with 20 observations of 159 variables.
#' @docType data
#' @keywords datasets
#' @usage data(wlehar_jhu_testing)
#' @source Practical Machine Learning by John Hopkins University
#'  \url{https://d396qusza40orc.cloudfront.net/predmachlearn/pml-testing.csv}
#' @seealso \code{\link{wlehar}} for original data set.
"wlehar_jhu_testing"
dylan-stark/wlehar documentation built on May 15, 2019, 7:23 p.m.