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#' ARD Chi-squared Test
#'
#' @description
#' Analysis results data for Pearson's Chi-squared Test.
#' Calculated with `chisq.test(x = data[[variable]], y = data[[by]], ...)`
#'
#'
#' @param data (`data.frame`)\cr
#' a data frame.
#' @param by ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
#' column name to compare by.
#' @param variables ([`tidy-select`][dplyr::dplyr_tidy_select])\cr
#' column names to be compared. Independent tests will be computed for
#' each variable.
#' @param ... additional arguments passed to `chisq.test(...)`
#'
#' @return ARD data frame
#' @export
#'
#' @examplesIf do.call(asNamespace("cardx")$is_pkg_installed, list(pkg = "broom", reference_pkg = "cardx"))
#' cards::ADSL |>
#' ard_stats_chisq_test(by = "ARM", variables = "AGEGR1")
ard_stats_chisq_test <- function(data, by, variables, ...) {
set_cli_abort_call()
# check installed packages ---------------------------------------------------
check_pkg_installed("broom", reference_pkg = "cardx")
# check/process inputs -------------------------------------------------------
check_not_missing(data)
check_not_missing(variables)
check_not_missing(by)
check_data_frame(data)
cards::process_selectors(data, by = {{ by }}, variables = {{ variables }})
check_scalar(by)
# return empty ARD if no variables selected ----------------------------------
if (is_empty(variables)) {
return(dplyr::tibble() |> cards::as_card())
}
# build ARD ------------------------------------------------------------------
lapply(
variables,
function(variable) {
cards::tidy_as_ard(
lst_tidy =
cards::eval_capture_conditions(
stats::chisq.test(x = data[[variable]], y = data[[by]], ...) |>
broom::tidy()
),
tidy_result_names = c("statistic", "p.value", "parameter", "method"),
fun_args_to_record =
c("correct", "p", "rescale.p", "simulate.p.value", "B"),
formals = formals(stats::chisq.test),
passed_args = dots_list(...),
lst_ard_columns = list(group1 = by, variable = variable, context = "stats_chisq_test")
) |>
dplyr::mutate(
.after = "stat_name",
stat_label =
dplyr::case_when(
.data$stat_name %in% "statistic" ~ "X-squared Statistic",
.data$stat_name %in% "p.value" ~ "p-value",
.data$stat_name %in% "parameter" ~ "Degrees of Freedom",
TRUE ~ .data$stat_name,
)
)
}
) |>
dplyr::bind_rows() |>
cards::as_card()
}
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