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#' @title AND
#'
#' @description Check for co-existence of two activities.
#'
#' The`and` rule checks whether two activities both occur in a case (or are both absent).
#' If `activity_a` exists, `activity_b` should also exist, and vice versa.
#'
#' @param activity_a \code{\link{character}}: Activity A. This should be an activity of the log supplied to \code{\link{check_rule}}.
#' @param activity_b \code{\link{character}}: Activity B. This should be an activity of the log supplied to \code{\link{check_rule}}.
#'
#' @family Exclusiveness rules
#'
#' @examples
#' library(bupaR)
#' library(eventdataR)
#'
#' # Check that if a patients is registered, he's also checked-out, and vice versa.
#' patients %>%
#' check_rule(and("Registration","Check-out"))
#'
#' @export
and <- function(activity_a, activity_b) {
rule <- list()
rule$activity_a <- activity_a
rule$activity_b <- activity_b
class(rule) <- c("conformance_rule", "list")
attr(rule, "type") <- "and"
attr(rule, "checker") <- and_checker
attr(rule, "label") <- paste0("and_",
str_replace(activity_a, "-| ", "_"),
"_",
str_replace(activity_b, "-| ", "_"))
return(rule)
}
and_checker <- function(log, rule) {
UseMethod("and_checker")
}
and_checker.log <- function(log, rule) {
check_activity_in_log(rule$activity_a, log)
check_activity_in_log(rule$activity_b, log)
log %>%
group_by_case() %>%
mutate(rule_holds = (any(.data[[activity_id(log)]] == rule$activity_a) &
any(.data[[activity_id(log)]] == rule$activity_b)) |
(!any(.data[[activity_id(log)]] == rule$activity_a) &
!any(.data[[activity_id(log)]] == rule$activity_b))) %>%
ungroup_eventlog()
}
and_checker.grouped_log <- function(log, rule) {
bupaR:::apply_grouped_fun(log, and_checker.log, rule, .ignore_groups = TRUE, .keep_groups = TRUE, .returns_log = TRUE)
}
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