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swc_get_mun_history.R
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swc_get_mun_history.R
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#' Get municipality mutation history
#'
#' The history goes back as far as the mutation number becocmes 1000
#' (first time registration)
#'
#' @param munId Municipality Id as integer
#'
#' @examples
#' waedenswil_history <- swc_get_mun_history(293)
#'
#' @export
swc_get_mun_history <- function(munId) {
mutations <- swc_get_mutations()
mutations_reduced <- dplyr::select(
mutations,
mMutationNumber,
mMutationId,
cAbbreviation,
mHistId.x, mId.x,
mShortName.x,
mHistId.y, mId.y,
mShortName.y,
mAdmissionMode,
mMutationDate
)
t <- dplyr::filter(mutations_reduced, mId.y == munId)
t <- dplyr::filter(t, mHistId.y == max(mHistId.y))
success <- 1
while (success != 1000) {
vector <- 1
t <- purrr::reduce(
.x = vector,
~ add_past(..1, mutations = mutations_reduced),
.init = t
)
success <- as.numeric(max(unique(na.omit(t[1]))))
}
t
}
#' Add the past to original data
#'
#' The past is searched by the mHistId.x of the origial file
#'
#' @param x The original data as tibble.
#'
#' @param mutations Mutation file
#'
#' @examples
#' mutations <- swcGetMutations()
#'
#' t <-
#' dplyr::filter(mutations, mId.y == 293)
#'
#' t_1 <- dplyr::filter(t, mHistId.y == max(mHistId.y))
#'
#' t_past <- add_past(t, mutations)
#'
#' @export
add_past <- function(x, mutations) {
history <- dplyr::filter(mutations, mHistId.y %in% x$mHistId.x)
t_added <- dplyr::full_join(history, x, by = c("mHistId.y" = "mHistId.x"))
}