cdev.generic: Condition-number-based deviation of X and Y, for generally...
In ttdtrang/gbnorm: Graph-based Normalization of RNA-seq data
Description
Much faster with thin matrix (nrow >> ncol).
Usage
1
cdev.generic(X, Y, always.small = TRUE)
Arguments
X
m x n matrix
Y
m x n matrix
always.small
[=TRUE] if set to TRUE, cdev will be calculate for the smaller version of transformation matrix
ttdtrang/gbnorm documentation built on Dec. 23, 2021, 1:01 p.m.
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Description
Much faster with thin matrix (nrow >> ncol).
Usage
1 | cdev.generic(X, Y, always.small = TRUE)
|
Arguments
X |
m x n matrix |
Y |
m x n matrix |
always.small |
[=TRUE] if set to TRUE, cdev will be calculate for the smaller version of transformation matrix |
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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