splitDatatoTrainTest: MLmodels util function
In Fjeanneret/multiSight: Multi-omics Classification, Functional Enrichment and Network Inference analysis
View source: R/mod_MLmodels_utils.R
splitDatatoTrainTest R Documentation
MLmodels util function
Description
To split list of omic data in data train and data test subsets.
Usage
splitDatatoTrainTest(MultiOmicData, freq = 0.8)
Arguments
MultiOmicData
list of your data blocks
freq
Split proportion of train samples
Value
Return two data sets: first to train model and second to assess it.
Examples
data("omic2", package = "multiSight")
splitData <- splitDatatoTrainTest(omic2, 0.8)
data.train <- splitData$data.train
data.test <- splitData$data.test
Fjeanneret/multiSight documentation built on April 6, 2022, 7:59 a.m.
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View source: R/mod_MLmodels_utils.R
| splitDatatoTrainTest | R Documentation |
MLmodels util function
Description
To split list of omic data in data train and data test subsets.
Usage
splitDatatoTrainTest(MultiOmicData, freq = 0.8)
Arguments
MultiOmicData |
list of your data blocks |
freq |
Split proportion of train samples |
Value
Return two data sets: first to train model and second to assess it.
Examples
data("omic2", package = "multiSight")
splitData <- splitDatatoTrainTest(omic2, 0.8)
data.train <- splitData$data.train
data.test <- splitData$data.test
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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