compare: Compare wrapper function

In alishinski/clustRcompaR: Easy Interface for Clustering a Set of Documents and Exploring Group- Based Patterns

Description

Compare wrapper function

Usage

compare(clustering_solution, compare_which, which_clusters = NULL,
  which_groups = NULL)

Arguments

clustering_solution	The output from the cluster function.
compare_which	A factor variable of the groups of interest for comparison.
which_clusters	Clusters to be included in the comparison. Default is all clusters.
which_groups	Levels of the grouping factor to be included in the comparison. Default is all levels.

Details

Function for comparing clustering solution between subgroups. Output is contingency table for the specified groups and clusters.

Examples

library(clustRcompaR)
library(dplyr)
library(quanteda)

d <- inaugural_addresses
d <- mutate(d, century = ifelse(Year < 1800, "17th",
                                ifelse(Year >= 1800 & Year < 1900, "18th",
                                       ifelse(Year >= 1900 & Year < 2000, "19th", "20th"))))

three_clusters <- cluster(d, century, n_clusters = 3)
extract_terms(three_clusters)

three_clusters_comparison <- compare(three_clusters, "century")
compare_plot(three_clusters_comparison)

alishinski/clustRcompaR documentation built on May 12, 2019, 9:54 a.m.