Thresholding: An auxiliary function that finds a region of significance in...
In neurodata/r-mgc: Multiscale Graph Correlation
Description
Usage
Arguments
Value
Author(s)
View source: R/MGCSampleStat.R
Description
An auxiliary function that finds a region of significance in the local correlation map by thresholding.
Usage
1
Thresholding(localCorr, m, n, sz)
Arguments
localCorr
is all local correlations
m
is the number of rows of localCorr
n
is the number of columns of localCorr
sz
is the sample size of original data (which may not equal m or n in case of repeating data).
Value
R is a binary matrix of size m and n, with 1's indicating the significant region.
Author(s)
Eric Bridgeford and C. Shen
neurodata/r-mgc documentation built on March 12, 2021, 9:45 a.m.
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Description Usage Arguments Value Author(s)
View source: R/MGCSampleStat.R
Description
An auxiliary function that finds a region of significance in the local correlation map by thresholding.
Usage
1 | Thresholding(localCorr, m, n, sz)
|
Arguments
localCorr |
is all local correlations |
m |
is the number of rows of localCorr |
n |
is the number of columns of localCorr |
sz |
is the sample size of original data (which may not equal m or n in case of repeating data). |
Value
R is a binary matrix of size m and n, with 1's indicating the significant region.
Author(s)
Eric Bridgeford and C. Shen
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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