plot_deciles: Plot decile plots of numerical variables

In konradsemsch/aider: Perform everyday analytical and data science tasks more efficiently

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() function will do that for you).

Usage

plot_deciles(df, x = decile, y = bad_rate, facet = NULL,
  ticks = 10, angle = 0, title = TRUE, subtitle = NULL,
  caption = NULL, lab_x = "Decile", lab_y = "Value range",
  legend = TRUE, alpha = 0.7, quantile_low = 0.025,
  quantile_high = 0.975, palette = "redgreen", theme_type = "grey")

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 'bad_rate'
facet	Select an additional faceting variable to create facets. Defaults to NULL
ticks	Select the number of ticks on the y axis. 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 "Value range"
legend	Should the plot legend appear automatically. Defaults to TRUE
alpha	Select plot fill transparency. Defaults to .7
quantile_low	Select lower percentile for outliers exclusion. Defaults to 2.5%
quantile_high	Select upper percentile for outliers exclusion. Defaults to 97.5%
palette	Select a color palette from colors available in the select_palette function
theme_type	Select a theme type from themes available in the aider_theme function

Examples

recipes::credit_data %>%
  first_to_lower() %>%
  calculate_decile_table(binning = age,
                         grouping = status,
                         top_level = "bad") %>%
  plot_deciles()

konradsemsch/aider documentation built on May 22, 2019, 2:40 p.m.