dist_measure_explore: dist_measure_explore function

In clmacleod/highlandr: Random Useful Functions

dist_measure_explore function

Description

massive function for exploratory hierachical cluster analysis varying distance measures,

Usage

dist_measure_explore(
  data,
  cvars,
  mes = "rawdata",
  metric = "euclidean",
  method = "ward",
  diss = TRUE,
  maxclust = 15,
  bindata = FALSE
)

Arguments

data	a dataframe containing only the identifier and raw data to be clustered
cvars	vector of names in order for all variables to be used in the clustering
mes	vector of distance measures to use. default is distance measures from
metric	metric to use in the agnes cluster analysis. default is 'euclidean'
method	method of hierarchical clustering to use. default is 'ward'
diss	whether dissimilarity matrix is being passed (TRUE) or raw data (FALSE). default is TRUE
maxclust	maximum cluster solutions to produce. default is 15
bindata	is the data being analyzed binary data (TRUE) or not (FALSE). default is FASLE

Examples

dist_measure_explore_function()

clmacleod/highlandr documentation built on Oct. 11, 2023, 8:04 p.m.