# data from
#' @Article{krone2020,
#' author = {Krone, Tanja and Boessen, Ruud and Bijlsma, Sabina and van Stokkum, Robin and Clabbers, Nard DS and Pasman, Wilrike J},
#' title = {The possibilities of the use of N-of-1 and do-it-yourself trials in nutritional research},
#' journal = {PloS ONE},
#' volume = {15},
#' number = {5},
#' pages = {e0232680},
#' year = {2020},
#' location = {},
#' keywords = {}}
weightloss <- read.table("data-raw/data/pone.0232680.s001.csv", header = TRUE, sep = ",", row.names = 1L)
# replace by consecutive subject id, as in paper
weightloss$subject <- as.integer(rep(1:12, each = 63))
# correct error in condition for subjects 4 and 12, as in paper, and make factor
codes <- as.integer(rep(c(rep(1:3, 3), 1, 3, 2, rep(1:3, 7), 1, 3, 2), each = 21))
weightloss$condition <- factor(codes, labels = c("Control", "Diet", "Activity"))
# keep only useful records
# weightloss <- weightloss[!is.na(weightloss$body_weight), ]
usethis::use_data(weightloss, overwrite = TRUE)
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