plot.cluster_variables: Plots tree with correlation values

In triplot: Explaining Correlated Features in Machine Learning Models

Description

Plots tree that illustrates the results of cluster_variables function.

Usage

## S3 method for class 'cluster_variables'
plot(x, p = NULL, show_labels = TRUE, axis_lab_size = 10, text_size = 3, ...)

Arguments

x	cluster_variables or hclust object
p	correlation value for cutoff level, if not NULL, cutoff line will be drawn
show_labels	if TRUE, plot will have annotated axis Y
axis_lab_size	size of labels on axis Y, if applicable
text_size	size of labels annotating values of correlations
...	other parameters

Value

plot

Examples

library("DALEX")
dragons_data <- dragons[,c(2,3,4,7,8)]
cv <- cluster_variables(dragons_data, clust_method = "complete")
plot(cv, p = 0.7)

triplot documentation built on July 13, 2020, 5:08 p.m.