#' Plot Pediatric Case Rates by Race
#'
#' @param data NBS case data, as returned by
#' \code{\link[coviData:read-nbs]{pos(process_inv())}}
#'
#' @param date The download date of the data; defaults to most recent
#'
#' @return A `ggplot`
#'
#' @export
peds_plot_race <- function(
data = pos(process_inv(read_inv(date))),
date = NULL
) {
date <- date_inv(date)
data %>%
peds_calc_race(date = date) %>%
demog_plot_(
"Pediatric Case Rates",
grp = "race",
date = date,
color = "darkorchid4"
)
}
#' Plot Active Pediatric Case Rates by Race
#'
#' @param data NBS case data, as returned by
#' \code{\link[coviData:read-nbs]{filter_active(pos(process_inv()))}}
#'
#' @param date The download date of the data; defaults to most recent
#'
#' @return A `ggplot`
#'
#' @export
act_peds_plot_race <- function(
data = filter_active(pos(process_inv(read_inv(date)))),
date = NULL
) {
date <- date_inv(date)
data %>%
peds_calc_race(date = date) %>%
demog_plot_(
"Pediatric Case Rates",
grp = "race",
date = date,
color = "darkorchid1"
)
}
#' Tabluate Pediatric Cases by Race
#'
#' @param data NBS case data, as returned by
#' \code{\link[coviData:read-nbs]{pos(process_inv())}}
#'
#' @param date The download date of the data; defaults to most recent
#'
#' @return A `flextable`
#'
#' @export
peds_table_race <- function(
data = pos(process_inv(read_inv(date))),
date = NULL
) {
data %>%
peds_calc_race(date = date) %>%
demog_table_(grp_lbl = "Race", color = "darkorchid4", peds = TRUE) %>%
flextable::autofit()
}
#' Tabluate Active Pediatric Cases by Race
#'
#' @param data NBS case data, as returned by
#' \code{\link[coviData:read-nbs]{filter_active(pos(process_inv()))}}
#'
#' @param date The download date of the data; defaults to most recent
#'
#' @return A `flextable`
#'
#' @export
act_peds_table_race <- function(
data = filter_active(pos(process_inv(read_inv(date)))),
date = NULL
) {
data %>%
peds_calc_race(date = date) %>%
demog_table_(grp_lbl = "Race", color = "darkorchid1", peds = TRUE) %>%
flextable::autofit()
}
#' Calculate Pediatric Case Rates and Percentages by Race
#'
#' @inheritParams peds_table_race
#'
#' @return A `tibble`
#'
#' @export
#'
#' @keywords internal
peds_calc_race <- function(
data = pos(process_inv(read_inv(date))),
date = NULL
) {
data %>%
filter_peds() %>%
peds_trans_race() %>%
demog_calc_("race", peds = TRUE) %>%
demog_relevel_race()
}
peds_trans_race <- function(data) {
dplyr::transmute(data, grp = demog_race_grp_(.data[["patient_race_calc"]]))
}
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