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#===========================================================
# Plot Randomization
#===========================================================
#' Plot Randomization Schedule
#'
#' Creates a bar chart showing the number of subjects allocated
#' to each treatment group.
#'
#' @param schedule A data frame produced by ExpDesignR.
#' @param group_col Character. Name of the treatment column.
#' @param fill Character. Fill colour.
#' @param title Character. Plot title.
#'
#' @return A ggplot object.
#'
#' @examples
#' sch <- simple_randomization(
#' n = 40,
#' groups = c("Control","Treatment"),
#' seed = 123
#' )
#'
#' plot_randomization(sch)
#'
#' @importFrom dplyr count
#' @importFrom ggplot2 ggplot aes geom_col labs
#' @importFrom ggplot2 theme_bw theme element_text
#' @importFrom rlang .data
#' @export
plot_randomization <- function(schedule,
group_col = "Group",
fill = "#2C7FB8",
title = "Treatment Allocation") {
if (!is.data.frame(schedule))
stop("'schedule' must be a data frame.",
call. = FALSE)
if (!(group_col %in% names(schedule)))
stop(paste0("Column '", group_col,
"' not found."),
call. = FALSE)
df <- dplyr::count(
schedule,
.data[[group_col]]
)
names(df) <- c("Group", "Count")
ggplot2::ggplot(
df,
ggplot2::aes(
x = .data$Group,
y = .data$Count
)
) +
ggplot2::geom_col(
fill = fill,
width = 0.7
) +
ggplot2::labs(
title = title,
x = "Treatment Group",
y = "Number of Subjects"
) +
ggplot2::theme_bw(base_size = 14) +
ggplot2::theme(
plot.title = ggplot2::element_text(
face = "bold",
hjust = 0.5
),
axis.title = ggplot2::element_text(face = "bold"),
axis.text = ggplot2::element_text(colour = "black")
)
}
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