plot_pairwise_linear: Pairwise plot in a linear layout

In bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores

Pairwise plot in a linear layout

Description

Plots the calculated measures of association among different variable pairs for a dataset in a linear layout.

Usage

plot_pairwise_linear(
  scores,
  pair_order = "seriate_max",
  geom = c("tile", "point"),
  add_lines = FALSE,
  score_limits = NULL,
  na.value = "grey80",
  interactive = FALSE
)

Arguments

scores	A tibble with the calculated association measures for the matrix plot. Either of class pairwise or identical in structure to object of class pairwise.
pair_order	The variable pair order to be used. The default NULL means pairs are in order of their first appearance in scores. A value of "seriate_max" means pairs are in order of maximum absolute scores. A value of "seriate_max_diff" means pairs are in order of maximum scores difference.
geom	The geom to be used. Should be "point" or "tile".
add_lines	When geom= "point" is used, should the points be connected by lines? Defaults to FALSE.
score_limits	a numeric vector of length specifying the limits of the scale.
na.value	used for geom_tile with a value of NA
interactive	defaults to FALSE

Value

A girafe object if interactive==TRUE, otherwise a ggplot2.

Examples

plot_pairwise_linear(pairwise_scores(iris))
plot_pairwise_linear(pairwise_scores(iris,by="Species"))
plot_pairwise_linear(pairwise_multi(iris), geom="point")

bullseye documentation built on Sept. 11, 2024, 9:24 p.m.