mStopDiffMean: Estimate partition at which fastPerm will stop for difference...
In bdsegal/fastperm: Fast approximation of small p-values in permutation tests by partitioning the permutation space
Description
Usage
Arguments
Examples
Description
This function estimates the partition at which fastPerm will
will stop, based on asymptotic approximation.
Usage
1
mStopDiffMean(x, y, B = 1000, plot = FALSE)
Arguments
x
First sample
y
Second sample
B
Number of Monte Carlo iterations within each partition. Defaults to 1,000.
Examples
1
2
3
x <- rnorm(100, 1)
y <- rexp(100, 0)
mStopDiffMean(x, y)
bdsegal/fastperm documentation built on July 22, 2019, 1:26 p.m.
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Description Usage Arguments Examples
Description
This function estimates the partition at which fastPerm will will stop, based on asymptotic approximation.
Usage
1 | mStopDiffMean(x, y, B = 1000, plot = FALSE)
|
Arguments
x |
First sample |
y |
Second sample |
B |
Number of Monte Carlo iterations within each partition. Defaults to 1,000. |
Examples
1 2 3 | x <- rnorm(100, 1)
y <- rexp(100, 0)
mStopDiffMean(x, y)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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