plot.hclus {radiant.multivariate} | R Documentation |
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 |
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)