ef_byplot: Countor plot

In UMeforensics/eforensics_public: Election Forensics: Positive Empirical Models of Election Fraud

Description

Create a contour plot with marginal densities

Usage

ef_byplot(data, samples = NULL, x, y, xlab, ylab,
  contour.fill.color = FALSE, contour.fill.color.key = NULL,
  pch.color.key = NULL, pch.size = 2, pch.show = TRUE,
  legend.title = "")

Arguments

data	a data frame
samples	the output of the function eforensics. It is optional. If provided, the plot will display the classification of the points in each fraud distribution
x	a string with the name of the variable in data that will be plotted in the x-axis
y	a string with the name of the variable in data that will be plotted in the y-axis
xlab	a string with the text to appear in the x-axis
ylab	a string with the text to appear in the y-axis
contour.fill.color	boolean, if TRUE, it uses the contour.fill.color.key to color the contour of the bivariate density
contour.fill.color.key	a string with the name of the variable in data to use as a color key of the contour of the bivariate density. It is used only if samples is not provided
pch.color.key	a string with the name of the variable in data that will be used to color the points. Default is NULL. It is used only if samples is not provided
pch.size	a integer with the size of the points. Default is 1
pch.show	a boolean value indicating if the points should be displayed in the plot (T) or not (F). Default is TRUE
legend.title	a string with the title of the legend

Value

a ggplot object

UMeforensics/eforensics_public documentation built on Oct. 31, 2019, 12:49 a.m.