plot.hclus: Plot method for the hclus function

In radiant-rstats/radiant.multivariate: Multivariate Menu for Radiant: Business Analytics using R and Shiny

Plot method for the hclus function

Description

Plot method for the hclus function

Usage

## S3 method for class 'hclus'
plot(
  x,
  plots = c("scree", "change"),
  cutoff = 0.05,
  shiny = FALSE,
  custom = FALSE,
  ...
)

Arguments

x	Return value from hclus
plots	Plots to return. "change" shows the percentage change in within-cluster heterogeneity as respondents are grouped into different number of clusters, "dendro" shows the dendrogram, "scree" shows a scree plot of within-cluster heterogeneity
cutoff	For large datasets plots can take time to render and become hard to interpret. By selection a cutoff point (e.g., 0.05 percent) the initial steps in hierarchical cluster analysis are removed from the plot
shiny	Did the function call originate inside a shiny app
custom	Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and https://ggplot2.tidyverse.org/ for options.
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/multivariate/hclus.html for an example in Radiant

See Also

hclus to generate results

summary.hclus to summarize results

Examples

result <- hclus(shopping, vars = c("v1:v6"))
plot(result, plots = c("change", "scree"), cutoff = .05)
plot(result, plots = "dendro", cutoff = 0)

radiant-rstats/radiant.multivariate documentation built on Nov. 29, 2023, 9:52 p.m.