cluster_discrimination: Compute a linear discriminant analysis on classified cluster...

In easystats/parameters: Processing of Model Parameters

Compute a linear discriminant analysis on classified cluster groups

Description

Computes linear discriminant analysis (LDA) on classified cluster groups, and determines the goodness of classification for each cluster group. See MASS::lda() for details.

Usage

cluster_discrimination(x, cluster_groups = NULL, ...)

Arguments

x	A data frame
cluster_groups	Group classification of the cluster analysis, which can be retrieved from the cluster_analysis() function.
...	Other arguments to be passed to or from.

See Also

n_clusters() to determine the number of clusters to extract, cluster_analysis() to compute a cluster analysis and performance::check_clusterstructure() to check suitability of data for clustering.

Examples

# Retrieve group classification from hierarchical cluster analysis
clustering <- cluster_analysis(iris[, 1:4], n = 3)

# Goodness of group classification
cluster_discrimination(clustering)

easystats/parameters documentation built on Nov. 5, 2024, 12:53 p.m.