FreesearchR/R/plot_hbar.R

#' Nice horizontal stacked bars (Grotta bars)
#'
#' @returns ggplot2 object
#' @export
#'
#' @name data-plots
#'
#' @examples
#' mtcars |> plot_hbars(pri = "carb", sec = "cyl")
#' mtcars |> plot_hbars(pri = "carb", sec = NULL)
plot_hbars <- function(data, pri, sec, ter = NULL) {
  out <- vertical_stacked_bars(data = data, score = pri, group = sec, strata = ter)

  out
}


#' Vertical stacked bar plot wrapper
#'
#' @param data data.frame
#' @param score outcome variable
#' @param group grouping variable
#' @param strata stratifying variable
#' @param t.size text size
#'
#' @return ggplot2 object
#' @export
#'
vertical_stacked_bars <- function(data,
                                  score = "full_score",
                                  group = "pase_0_q",
                                  strata = NULL,
                                  t.size = 10,
                                  l.color = "black",
                                  l.size = .5,
                                  draw.lines = TRUE) {
  if (is.null(group)) {
    df.table <- data[c(score, group, strata)] |>
      dplyr::mutate("All" = 1) |>
      table()
    group <- "All"
    draw.lines <- FALSE
  } else {
    df.table <- data[c(score, group, strata)] |>
      table()
  }

  p <- df.table |>
    rankinPlot::grottaBar(
      scoreName = score,
      groupName = group,
      textColor = c("black", "white"),
      strataName = strata,
      textCut = 6,
      textSize = 20,
      printNumbers = "none",
      lineSize = l.size,
      returnData = TRUE
    )

  colors <- viridisLite::viridis(nrow(df.table))
  contrast_cut <-
    sum(contrast_text(colors, threshold = .3) == "white")

  score_label <- data |> get_label(var = score)
  group_label <- data |> get_label(var = group)

  p |>
    (\(.x){
      .x$plot +
        ggplot2::geom_text(
          data = .x$rectData[which(.x$rectData$n >
                                     0), ],
          size = t.size,
          fontface = "plain",
          ggplot2::aes(
            x = group,
            y = p_prev + 0.49 * p,
            color = as.numeric(score) > contrast_cut,
            # label = paste0(sprintf("%2.0f", 100 * p),"%"),
            label = sprintf("%2.0f", 100 * p)
          )
        ) +
        ggplot2::labs(fill = score_label) +
        ggplot2::scale_fill_manual(values = rev(colors)) +
        ggplot2::theme(
          legend.position = "bottom",
          axis.title = ggplot2::element_text(),
        ) +
        ggplot2::xlab(group_label) +
        ggplot2::ylab(NULL)
      # viridis::scale_fill_viridis(discrete = TRUE, direction = -1, option = "D")
    })()
}