clusterTest: Computes comprehensive analysis of the cluster data,...

In spruenke/rankCluster: rankCluster

Computes comprehensive analysis of the cluster data, containing descriptive statistics, confidence intervals and different test procedures.

Description

Computes comprehensive analysis of the cluster data, containing descriptive statistics, confidence intervals and different test procedures.

Usage

clusterTest(
  data,
  p_null = 0.5,
  contrast = NULL,
  normal = FALSE,
  theta = NULL,
  psi = NULL,
  alpha = 0.05,
  type = NULL
)

Arguments

data	The data, provided as a list of lists
p_null	A vector or scalar of relative effects under the null hypothesis, defaults to 0.5
contrast	A contrast statement, either given as a numeric matrix or a character string (e.g. "Dunnett", "Tukey", "Sequen", "AVE", "Changepoint", "Williams", "Marcus", "McDermott", "UmbrellaWilliams", "GrandMean"). Defaults to the "GrandMean".
normal	Logical, whether normal approximation should be used or not, defaults to FALSE
theta	A Vector for the group weights, defaults to unweighted estimator
psi	A list of vectors with the cluster weights, defaults to unweighted estimator
alpha	The significance level, defaults to 0.05
type	A string indicating whether weighted or unweighted estimator should be used. Only if psi is not provided

spruenke/rankCluster documentation built on June 16, 2022, 9:47 a.m.