GetTrainTestSplitMat: Make random partitions
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data
Description
Usage
Arguments
Author(s)
View source: R/biomarker_utils.R
Description
Make random partitions, returns matrices indicating
whether the observation is in train/test for each run
note: try to get a balanced sampling for each group (classification)
or each quantile (regression). This is very useful for unbalanced data
Usage
1
GetTrainTestSplitMat(y, propTraining = 2/3, nRuns = 30)
Arguments
y
Input the data
propTraining
By default set to 2/3
nRuns
By default set to 30
Author(s)
Jeff Xia jeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.
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Description Usage Arguments Author(s)
View source: R/biomarker_utils.R
Description
Make random partitions, returns matrices indicating whether the observation is in train/test for each run note: try to get a balanced sampling for each group (classification) or each quantile (regression). This is very useful for unbalanced data
Usage
1 | GetTrainTestSplitMat(y, propTraining = 2/3, nRuns = 30)
|
Arguments
y |
Input the data |
propTraining |
By default set to 2/3 |
nRuns |
By default set to 30 |
Author(s)
Jeff Xia jeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)
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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