minimizeMissclassificationHCL: Minimize missclassification by step-wise increase of...

In mknoll/dataAnalysisMisc: Collection of functions for daily tasks

Minimize missclassification by step-wise increase of evaluated candidates

Description

Minimize missclassification by step-wise increase of evaluated candidates

Usage

minimizeMissclassificationHCL(
  data,
  res,
  class,
  clst_method = c("complete", "ward.D2"),
  test = "chisq",
  by = 1,
  complete.cases = T,
  nClust = 2
)

Arguments

data	data.frame containing the data to be analyzed
res	rownames of data, ordere by importance
class	given classification vector
clst_method	clustering method to use for
test	chisq or fisher

mknoll/dataAnalysisMisc documentation built on Feb. 4, 2024, 8:16 a.m.