R/data.R

In clustra: Clustering Longitudinal Trajectories

#' Simulated blood pressure data
#' 
#' A sample of 10,000 individuals from the full 80,000 individuals in a dataset
#' available on GitHub at 
#' https://github.com/MVP-CHAMPION/clustra-SAS/raw/main/bp_data/simulated_data_27June2023.csv.gz
#' 
#' The full data set contains 80,000 individuals, each with an average of about
#' 17 observations in 5 clusters with scatter. The individuals are generated 
#' from a 5-cluster thin spline model of actual blood pressures collected from 
#' roughly the same number of individuals at U.S. Department of Veterans Affairs
#' facilities in connection with the MVP-CHAMPION project. Each cluster-mean 
#' generated individual has a random number of observations at random times with
#' one observation at intervention time 0, and with added standard normal error.
#' The resulting data has 1,353,910 rows and 4 columns.
#' 
#' @format ## `bp10k`
#' A "data.table" and "data.frame" with 167,277 rows and 4 columns:
#' \describe{
#'   \item{id}{An integer in 1:80000.}
#'   \item{group}{An integer in 1:5.}
#'   \item{time}{An integer between -365 and 730, giving observation day with
#'   reference to an intervention at time 0.}
#'   \item{response}{The systolic blood pressure on that day.}
#' }
#' 
"bp10k"