sampling: Splits a dataset to a train and a test sets of a user defined...

In asakellariou/git-git.bioconductor.org-packages-mAPKL: A Hybrid Feature Selection method for gene expression data

Description

This function takes as input a dataset and splits it into a train and a test set based to a user defined percentage.

Usage

    sampling(Data,valPercent,classLabels,seed)

Arguments

Data	The input dataset to be split as an eSet object.
valPercent	The percentage of the input dataset used for validation purposes e.g. 40.
classLabels	The varLabels name in the eSet object where the class labels are stored e.g "type".
seed	Setting the seed number for reproducible sampling. The default value is 1.

Value

trainData	The data used for training as an eSet object
testData	The data used for validation as an eSet object

Author(s)

Argiris Sakellariou

Examples

library(mAPKLData)
data(mAPKLData)
breast <- sampling(Data=mAPKLData, valPercent=40, classLabels="type", seed=135)

asakellariou/git-git.bioconductor.org-packages-mAPKL documentation built on June 5, 2019, 8:49 p.m.