testMean: Testing the equality of two sample mean vectors in high dimension.
Description
Testing the equality of two sample mean vectors in high dimension using different methods.
Usage
testMean(X, Y = NULL, method = "HD", m = 2500, filter = TRUE,
alpha = 0.05, SX = NULL, SY = NULL)
Arguments
X
the n x p training data matrix, could be a matrix or a data.frame object.
Y
the n x p training data matrix, if presented the method will perform
a two-sample test of mean, one-sample test otherwise.
Could be a matrix or a data.frame object.
method
a string incidating the method for the test. The current available
methods are ALL, HD, CQ, CLX.
m
the number of repetition in the test
filter
a logical indicator of the filtering process
alpha
the significant level of the test.
SX
covariance matrix of X, if not presented it will be estimated from
the input sample.
SY
covariance matrix of T, if not presented it will be estimated from
the input sample.
Value
For method HD, the function returns two htest objects for
non-studentized and studentized test respectively.
For method CLX and CQ, the function returns an htest object.