#' Selectivity Plotting
#'
#' \code{selectivity_plotter} takes a dataframe with one application year and returns
#' a lollipop plot of applicaitons and offers
#'
#' @param dfADM a dataframe exported by the \code{\link{adm_data_prep}} function
#' @param l.color list of colors for the dots; default is "#35618f"
#' @param theme_stripe custom theme object for plotting
#' @param v.AppYear the varaible defining the year of application; default value is
#' \code{AppYear}
#' @param v.Selectivity the variable name for the selectivity metric; default value
#' is \code{Selectivity}
#' @param colorVar the variable used to define the color and fill for the dots;
#' the default is \code{Graduate.Applciation.HEGIS}
#'
#' @return a ggplot object
#'
#'
#'@export
#'
selectivity_plotter <- function(dfADM, l.color = c("#35618f"), theme_stripe = NULL,
v.AppYear = AppYear, v.Selectivity = Selectivity,
colorVar = `Graduate Application HEGIS`){
q.AppYear = enquo(v.AppYear)
q.Selectivity = enquo(v.Selectivity)
q.colorVar <- enquo(colorVar)
maxAxis <- dfADM %>%
ungroup() %>%
summarise(maxvalue = max(!! q.Selectivity) *1.1) %>%
unlist
plSelectivity <- dfADM %>%
ggplot() +
geom_segment(aes(x = !! q.AppYear, xend = !! q.AppYear, y = 0, yend = !! q.Selectivity)) +
geom_point(aes( x = !! q.AppYear, y = !! q.Selectivity, fill = !! q.colorVar,
color = !! q.colorVar,
text = paste0("Selectivity: ", percent( !! q.Selectivity),
"\nApplications to Fall ", !! q.AppYear)),
stat = 'identity', size = 5)+
theme_minimal()+
scale_fill_manual(values = l.color)+
scale_color_manual(values = l.color)+
theme(panel.grid.major.x = element_blank())+
theme_stripe+
scale_y_continuous(labels = percent_format(), limits = c(0, maxAxis)) +
scale_x_continuous(breaks = int_breaks_x)
plSelectivity
}
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