plotMultiSorting: Plot the sorted data (two-dimensional)

In melaniehorn/GSignTest: Robust Tests for Regression-Parameters via Sign Depth

Description

Plots two dimensions of the data as a scatter plot and the sorting of the data as lines, which connect the points. Therefore, the function ggplot from the ggplot2-package is used.

Usage

plotMultiSorting(
  x,
  xlab,
  ylab,
  main,
  dims = 1:2,
  point.size = 1,
  path.size = 1
)

Arguments

x	[multiSorting] An object returned from multiSorting.
xlab	[character(1)] Optional x axis label.
ylab	[character(1)] Optional y axis label.
main	[character(1)] Optional title of the plot.
dims	[integer(2)] The dimensions to be plottet. Default is the first two.
point.size	[numeric(1)] Non-negative size of the points in the plot.
path.size	[numeric(1)] Non-negative size of the path in the plot.

Value

The ggplot object

See Also

multiSorting

Examples

x <- data.frame(x = sort(rnorm(20)), y = sort(rnorm(20)))
multSort <- multiSorting(x)
plotMultiSorting(multSort, point.size = 3, path.size = 2)

melaniehorn/GSignTest documentation built on July 11, 2021, 1:18 a.m.