naiveBlockPermute2 | R Documentation |
Generates a new array \mathbf{X}'
under the permutation null and then
returns the V
statistic computed for \mathbf{X}'
.
naiveBlockPermute2(X, block_boundaries, p)
X |
The |
block_boundaries |
A vector of length at most P, whose entries indicate positions at which to demarcate blocks |
p |
The power p of |
This is Version 2, which takes in the block boundaries. It is suitable
for use when the features are already arranged such that the block
memberships are determined by index delimiters. Given original \mathbf{X}
and
a list denoting labels of each feature, independently permutes the rows
within each block of \mathbf{X}
and returns resulting V
. If block labels are not specified,
then features are assumed independent, which is to say that block_labels is set to 1:ncol(\mathbf{X}
).
Dependencies: getBinVStat, getRealVStat
V(\mathbf{X}')
, where \mathbf{X}'
is a resampled by permutation of entries blockwise
X <- matrix(nrow = 5, ncol = 10, rnorm(50)) # real matrix example
naiveBlockPermute2(X, block_boundaries = c(4,7,9), p = 2) # use Euclidean distance
X <- matrix(nrow = 5, ncol = 10, rbinom(50, 1, 0.5)) # binary matrix example
naiveBlockPermute2(X, block_boundaries = c(4,7,9))
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