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#' Format Results of Stratified Tables
#'
#' @param results Stratified results output
#' @param data Data set
#' @param to Separator character(s) for confidence interval bounds
#' @param is_trend If called on a continous (trend) variable
#' @param nmin Suppress counts below
#' @param suppress How to supress low counts
#'
#' @return Tibble
#' @noRd
format_stratified_results <- function(
results,
data,
to,
suppress,
nmin,
is_trend) {
results |>
dplyr::ungroup() |>
dplyr::left_join(
counts_per_stratum(
data = data,
suppress = suppress,
is_trend
),
by = ".exposure"
) |>
dplyr::mutate(
.exposure = as.character(.data$.exposure),
res = dplyr::if_else(
stringr::str_remove(
string = .data$res,
pattern = "%"
) %in%
c(
"NaN", "NA", "NaN (NA)",
paste0("NA (NA", to, "NA)"),
paste0("NaN (NaN", to, "NaN)")
),
true = "--",
false = as.character(.data$res)
),
res = dplyr::case_when(
stringr::str_detect(
string = .data$res,
pattern = stringr::fixed("(NaN)")
) ~
paste0(
stringr::str_remove(
string = .data$res,
pattern = stringr::fixed("(NaN)")
),
"(--)"
),
stringr::str_detect(
string = .data$res,
pattern = stringr::fixed("(NaN%)")
) ~
paste0(
stringr::str_remove(
string = .data$res,
pattern = stringr::fixed("(NaN%)")
),
"(--)"
),
TRUE ~ .data$res
),
res = dplyr::case_when(
.data$.per_stratum < nmin ~
paste0("-- (<", nmin, ")"),
TRUE ~
.data$res
)
) |>
dplyr::select(-".per_stratum")
}
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