| Two-sample test of high-dimensional means for compositional data {Compositional} | R Documentation |
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 mtsagris@uoc.gr.
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
Examples
m <- runif(200, 10, 15)
x1 <- rdiri(100, m)
x2 <- rdiri(100, m)
hd.meantest2(x1, x2)