clust: Use different algorithms for cluster analysis

In itawaputtytat/puttytat4R: Collection of useful "helper"-functions

Description

Use different algorithms for cluster analysis

Usage

clust(dat_wide, k = 3, procedure = "kmeans",
  algorithm = "Hartigan-Wong", iter.max = 500, nstart = 1,
  start = "random", measure4diss = "EUCL", method4agglo = "single",
  seed = 42, ...)

Arguments

dat_wide	Data.frame in wide format: Row = case; column = values; multiple columns = e.g. values for each time step
k	integer. Number of groups

itawaputtytat/puttytat4R documentation built on Jan. 1, 2020, 9:46 a.m.