caretWrapper: warpper function of parameters for ramdom forest or suppport...

In lizhongliu1996/PredictMisc: package that use three methods to predict methylation regions

Description

warpper function of parameters for ramdom forest or suppport vector machine

Usage

caretWrapper(trainTable_df, respCol_index, predMethod = c("rf",
  "svmLinear"), seed_int, whichCVfold_int, ncores = 2)

Arguments

trainTable_df	train data frame that each column represents a CpG probe while each row represents a sample, each cell is a methaylation M value
respCol_index	response variable col number in beta data frame
predMethod	use random forest or svm to do prediction
seed_int	seed.value in use right row
whichCVfold_int	crossvalidation num in use right now, this decides on the traning data to be used
ncores	number of cores to do parallel computing

Value

A list contains results of glmnet

Examples

## Not run: 
 data(ExampleMvalue_train)
 fit <- caretWrapper(trainTable_df = ExampleMvalue_train,
               respCol_index = 1,
               predMethod = "rf",
               seed_int = 120,
               whichCVfold_int = 5,
               ncores = 2)
 
## End(Not run)

lizhongliu1996/PredictMisc documentation built on Aug. 23, 2019, 5:55 a.m.