csTest: Zhang and Pan Cluster Subspaces Test

In whitneyworley/HighDim2Means: Test Difference of 2 Mean Vectors in High Dimension

Description

Zhang and Pan Cluster Subspaces Test

Usage

csTest(x, y, k, B1 = 100)

csPval(x, y, k, B1 = 100, B2 = 100)

cs.test(x, y, k, B1 = 100, B2 = 100)

hotellingCluster(x, y)

pearsonClusters(x, y)

pearsonDistance(data)

pearson(n, p)

Arguments

x	Data set 1.
y	Data set 2.
k	k Number of dimensions to select. Defaults to floor((n1 + n2 - 2) / 2).
B1	Number of times to randomly subset full data. Defaults to 100.
B2	Number of permutations for calculating pvalue. Defaults to 100.
data	Data frame on which to calculate Pearson distances between variables.
n	Sample size.
p	Dimension.

Value

Zhang and Pan cluster subspaces statistic.

whitneyworley/HighDim2Means documentation built on Oct. 17, 2019, 9:40 p.m.