plot_deciles: Plot decile plots of numerical variables

In konradsemsch/ggrapid: Create neat & complete ggplot visualizations with as little code as possible

Description

This function creates nicely formatted, standardised decile plots. Prior to calling the function the data should only be in a form of a decile table calculate_decile_table. Above each bar the median value of the bin is displayed.

Usage

plot_deciles(df, x = decile, y = ratio, facet = NULL, ticks = 10,
  angle = 0, title = TRUE, subtitle = NULL, caption = NULL,
  lab_x = "Decile", lab_y = "Ratio", legend = TRUE, alpha = 0.7,
  quantile_low = 0, quantile_high = 1, theme_type = "ipsum",
  palette = "awtools")

Arguments

df	A data frame.
x	A categorical variable for the x axis groupings. Defaults to 'decile'.
y	A numerical variable for the y axis levels. Defaults to 'ratio'.
facet	Select an additional faceting variable to create facets. Defaults to NULL.
ticks	Select the number of ticks on the x and y axis with the number_ticks function. Defaults to 10.
angle	Select the rotation angle for the x axis labels. Defaults to 0.
title	Should the plot title appear automatically. Defaults to TRUE.
subtitle	Text that is displayed on the subtitle. Defaults to NULL.
caption	Text that is displayed on the caption. Defaults to NULL.
lab_x	Text that is displayed on the x axis. Defaults to "Decile".
lab_y	Text that is displayed on the y axis. Defaults to "Percentage".
legend	Should the plot legend appear automatically. Defaults to TRUE.
alpha	Select plot fill transparency. Defaults to 0.7.
quantile_low	Select lower percentile for outliers exclusion. Defaults to 0.0%.
quantile_high	Select upper percentile for outliers exclusion. Defaults to 1.0%.
theme_type	Select a theme type from themes available in the apply_theme function. Defaults to "ipsum".
palette	Select a palette type with the select_palette function. Defaults to "awtools".

Examples

library(tidyverse)

diamonds_filter <- diamonds %>% filter(cut %in% c("Ideal", "Premium"))

diamonds_filter %>%
  calculate_decile_table(price, cut, "Ideal") %>%
  plot_deciles()

diamonds_filter %>%
  calculate_decile_table(binning = price,
                         grouping = cut,
                         top_level = "Ideal",
                         n_bins = 10,
                         format = FALSE,
                         color) %>%
  plot_deciles(facet = color)

konradsemsch/ggrapid documentation built on Nov. 4, 2019, 3:56 p.m.