nlcvData: Simulated Datasets to Demonstrate nlcv Functionality

In nlcv: Nested Loop Cross Validation

Description

Four different datasets were simulated using different types and strengths of signal. For each of these datasets a nested loop cross validation procedure is run using each of random forest and t test feature selection.

Usage

data(nlcvRF_R)

Format

The given data sets are delivered in the form of objects of class nlcv as produced by the nlcv function

Details

The objects were created using the code given in the examples section.

Examples

## Not run: 
### create datasets
set.seed(415)
EsetStrongSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 10,
    nNoEffectCols = 0, betweenClassDifference = 2, withinClassSd = 0.5)
EsetWeakSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5,
    nNoEffectCols = 0, betweenClassDifference = 1, withinClassSd = 0.6)
EsetWeakHeteroSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5,
    nNoEffectCols = 5, betweenClassDifference = 1, withinClassSd = 0.6)
EsetRandom <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 0, 
    nNoEffectCols = 0)

### run nested loop cross validation
nlcvRF_SS <- nlcv(EsetStrongSignal, classVar = "type", nRuns = 10, 
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_SS <- nlcv(EsetStrongSignal, classVar = "type", nRuns = 10, 
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_WS <- nlcv(EsetWeakSignal, classVar = "type", nRuns = 10, 
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_WS <- nlcv(EsetWeakSignal, classVar = "type", nRuns = 10, 
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_WHS <- nlcv(EsetWeakHeteroSignal, classVar = "type", nRuns = 10, 
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_WHS <- nlcv(EsetWeakHeteroSignal, classVar = "type", nRuns = 10, 
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_R <- nlcv(EsetRandom, classVar = "type", nRuns = 10, 
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_R <- nlcv(EsetRandom, classVar = "type", nRuns = 10, 
    fsMethod = "t.test", verbose = TRUE)

## End(Not run)

nlcv documentation built on May 2, 2019, 4:56 p.m.