SKK_test: High-dimensional two-sample test (SKK) proposed by...

In highDmean: Testing Two-Sample Mean in High Dimension

Description

This function implements the two-sample high-dimensional test proposed by Srivastava, Katayama, and Kano(2013).

Usage

SKK_test(X, Y)

Arguments

X	The data matrix (n by p) from the first population.
Y	The data matrix (m by p) from the second population.

Value

A list consisting of the values of the test statistic and p-value.

References

Srivastava, M. S., Katayama, S., and Kano, Y. (2013). A two sample test in high dimensional data. Journal of Multivariate Analysis, 114:349-358.

Examples

# Generate a simulated dataset and apply the SKK test
data <- buildData(n = 45, m =60, p = 300,
                 muX = rep(0,300), muY = rep(0,300),
                 dep = 'IND', S = 1, innov = rnorm)
SKK_test(data[[1]]$X, data[[1]]$Y)

# Apply the SKK test to the data for a GO term stored in GO_example
SKK_test(GO_example$X, GO_example$Y)

Example output

$TSvalue
           [,1]
[1,] 0.04049388

$pvalue
          [,1]
[1,] 0.9676994

$TSvalue
         [,1]
[1,] 2.700094

$pvalue
            [,1]
[1,] 0.006931983

highDmean documentation built on July 2, 2020, 3:15 a.m.