fastresid: Residulize the effect of y away from x
In CorDiff: Set-Based Differential Covariance Testing for Genomics
Description
Usage
Arguments
Value
Author(s)
References
Description
This function is to prepare for the next Q calculation. Basically, Q does not like phenotype y to add complication. Therefore we use this function to get rid of the impact of y.
Usage
1
fastresid(X, y)
Arguments
X
The data matrix, each column is for each sample and each row is for different feature.
y
Experimental condition/phenotypes, it can be discrete or continuous
Value
Xresid
The new x after residulizing y
Author(s)
Yi-Hui Zhou
References
Set-based differential covariance testing for genomics
CorDiff documentation built on May 2, 2019, 7:30 a.m.
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Description Usage Arguments Value Author(s) References
Description
This function is to prepare for the next Q calculation. Basically, Q does not like phenotype y to add complication. Therefore we use this function to get rid of the impact of y.
Usage
1 | fastresid(X, y)
|
Arguments
X |
The data matrix, each column is for each sample and each row is for different feature. |
y |
Experimental condition/phenotypes, it can be discrete or continuous |
Value
Xresid |
The new x after residulizing y |
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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