cvgroup: Cross validation grouping
In cma2015/PEA-m5C: An integrated R toolkit for plant m5C analysis.
Description
Usage
Arguments
Author(s)
Examples
Description
Grouping datasets for cross validation.
Usage
1
Arguments
data
A string vector representing the names of training samples or a string vector recording the names of training samples.
cvnum
which specifies the number of fold in cross-validation.
seed
A numeric value used for generating random seed.
Author(s)
Jingjing Zhai, Chuang Ma, Jie Song.
Examples
1
cvgroup(1:100,5)
cma2015/PEA-m5C documentation built on May 17, 2019, 8:05 a.m.
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Description Usage Arguments Author(s) Examples
Description
Grouping datasets for cross validation.
Usage
1 |
Arguments
data |
A string vector representing the names of training samples or a string vector recording the names of training samples. |
cvnum |
which specifies the number of fold in cross-validation. |
seed |
A numeric value used for generating random seed. |
Author(s)
Jingjing Zhai, Chuang Ma, Jie Song.
Examples
1 | cvgroup(1:100,5)
|
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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