R/dotbox.R

In HeeseokMoon/ggedachart: Get You to Your Desired Exploratory Data Analysis Plot Faster

#' Distribution Dot + Box Plot.
#'
#' dotbox function will draw Dot + Box Plot for Distribution analysis.
#' @param data input data.frame
#' @param x x variable
#' @param y y variable
#' @param title input data.frame
#' @param subtitle date variable
#' @param xtitle value variable
#' @param ytitle input data.frame
#' @param caption date variable
#' @return An object of class \code{ggplot}
#' @examples
#' plot<- dotbox(data=mpg,x="manufacturer",y="cty")
#' plot
#'
#' @import ggplot2
#' @import scales
#' @import reshape2
#' @import ggthemes
#' @import gganimate
#' @import gapminder
#' @import ggalt
#' @import ggExtra
#' @import ggcorrplot
#' @import dplyr
#' @import treemapify
#' @import ggfortify
#' @import zoo
#' @import ggdendro
#' @export
dotbox<-function(data,x,y,
                  title=NULL,subtitle=NULL,xtitle=NULL,ytitle=NULL,caption=NULL){
  df<- data
  x<- x
  y<- y

    # Plot
    p <- ggplot(df, aes_string(x,y))
    p <- p + geom_boxplot(fill="Dark grey") +
      geom_dotplot(binaxis='y',
                   stackdir='center',
                   dotsize = .5,
                   fill="black")+
      theme_fivethirtyeight() +
      theme(axis.title = element_text(),
            legend.title = element_text(face = 4,size = 10),
            axis.text.x = element_text(angle=65, vjust=0.6),
            legend.direction = "horizontal", legend.box = "horizontal") +
      labs(title=title,
           subtitle=subtitle,
           x=xtitle,
           y=ytitle,
           caption=caption)

  return(p)
}