#' Deviation Diverging Dot Plot.
#'
#' divdot function will draw Diverging Dot Plot for Deviation analysis.
#' @param data input data.frame
#' @param div.var diverging value variable
#' @param method "mean" or "median"
#' @param title main title
#' @param subtitle subtitle
#' @param xtitle x axis title
#' @param ytitle y axis title
#' @param caption caption
#' @return An object of class \code{ggplot}
#' @examples
#' plot<- divdot(data=mtcars,div.var="mpg",method="mean")
#' 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
divdot<-function(data,div.var, method="mean",
title=NULL,subtitle=NULL,xtitle=NULL,ytitle=NULL,caption=NULL){
df<- data
div.var<- div.var
if(method=="mean"){
df$row<-rownames(df)
df$z<-round((df[,div.var] - mean(df[,div.var])), 2)
df$z_type <- ifelse(df$z < 0, "below", "above")
df <- df[order(df$z), ]
df$row <- factor(df$row, levels = df$row)
}
if(method=="median"){
df$row<-rownames(df)
df$z<-round((df[,div.var] - median(df[,div.var])), 2)
df$z_type <- ifelse(df$z < 0, "below", "above")
df <- df[order(df$z), ]
df$row <- factor(df$row, levels = df$row)
}
p<-ggplot(df, aes_string(x="row", y="z", label="z")) +
geom_point(stat='identity', aes_string(col="z_type"), size=6) +
scale_color_manual(name=div.var,
labels = c("Above Average", "Below Average"),
values = c("above"="#008FD5", "below"="#FF2700")) +
geom_text(color="white", size=2) +
theme_fivethirtyeight() +
theme(axis.title = element_text(),
legend.title = element_text(face = 4,size = 10),
legend.direction = "horizontal", legend.box = "horizontal")+
labs(title=title,
subtitle=subtitle,
x=xtitle,
y=ytitle,
caption=caption) +
coord_flip()
return(p)
}
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