#' Marginal plot on scatter plot
#'
#' @description Membuat marginal plot untuk menunjukkan distribusi variabel
#' dalam scatter plot
#'
#' @param data data frame
#' @param x character of column name for x axis
#' @param y character of column name for y axis
#' @param title character for plot title
#' @param subtitle character for plot subtitle
#' @param data_source character for footer text
#' @param mg_type type of marginal plot
#'
#' @return ggplot ggarrange object
#'
#' @examples
#' \dontrun{
#' library(dataplot)
#' library(ggplot2)
#'
#' p1 <- plot_mrg(
#' data = economics, x = "psavert", y = "uempmed",
#' title = "Lorem Ipsum is simply dummy text",
#' subtitle = "Contrary to popular belief, Lorem Ipsum is not simply random text",
#' data_source = "www.kedata.online",
#' mg_type = "histogram"
#' )
#'
#' p1
#' }
#' @export
plot_mrg <-
function(data,
x,
y,
title,
subtitle,
data_source,
mg_type = c("histogram", "boxplot", "density")) {
data <- data[, c(x, y)]
colnames(data) <- c("col1", "col2")
p1 <-
ggplot2::ggplot(data = data, ggplot2::aes(x = col1, y = col2)) +
ggplot2::geom_point(color = "#274374") +
ggplot2::labs(x = paste0(x), y = paste0(y)) +
dataplot::kedata_theme()
p1 <-
ggExtra::ggMarginal(p1,
type = paste0(mg_type),
fill = "transparent",
col = "#274374"
)
kedata_final2(
plotname = p1,
title = paste0(title),
subtitle = paste0(subtitle),
data_source = paste0(data_source)
)
}
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