getMpfast: Calculate the statistic M
In CorDiff: Set-Based Differential Covariance Testing for Genomics
Description
Usage
Arguments
Value
Author(s)
References
Description
This function provides the permutation algorithm to calculate the maximum statistic M
Usage
1
Arguments
y
Experimental condition/phenotypes, it can be discrete or continuous
x
The data matrix, each column is for each sample and each row is for different feature.
num.perms
You can specifiy the number of permutation in the calculation. The default is 1000.
Value
Mobs
M statistic
pval
p value under permutation
Author(s)
Yi-Hui Zhou
References
Set-based differential covariance testing for genomics
CorDiff documentation built on May 2, 2019, 7:30 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s) References
Description
This function provides the permutation algorithm to calculate the maximum statistic M
Usage
1 |
Arguments
y |
Experimental condition/phenotypes, it can be discrete or continuous |
x |
The data matrix, each column is for each sample and each row is for different feature. |
num.perms |
You can specifiy the number of permutation in the calculation. The default is 1000. |
Value
Mobs |
M statistic |
pval |
p value under permutation |
Author(s)
Yi-Hui Zhou
References
Set-based differential covariance testing for genomics
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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