hd.meantest2: Two-sample test of high-dimensional means for compositional...

In Compositional: Compositional Data Analysis

Two-sample test of high-dimensional means for compositional data

Description

Two-sample test of high-dimensional means for compositional data.

Usage

hd.meantest2(y1, y2, R = 1)

Arguments

y1	A matrix containing the compositional data of the first group.
y2	A matrix containing the compositional data of the second group.
R	If R is 1 no bootstrap calibration is performed and the asymptotic p-value is returned. If R is greater than 1, the bootstrap p-value is returned.

Details

A two sample for high dimensional mean vectors of compositional data is implemented. See references for more details.

Value

A vector with the test statistic value and its associated (bootstrap) p-value.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Cao Y., Lin W. and Li H. (2018). Two-sample tests of high-dimensional means for compositional data. Biometrika, 105(1): 115-132.

See Also

comp.test, maovjames, maov, hotel2T2, el.test2, eel.test2

Examples

m <- runif(200, 10, 15)
x1 <- rdiri(100, m)
x2 <- rdiri(100, m)
hd.meantest2(x1, x2)

Compositional documentation built on Oct. 23, 2023, 5:09 p.m.