dataSplit: Split multiple data sets into training and test sets

In YipengUva/RpESCA: R implementaion of pESCA models with various concave penalties

Description

This function will split multiple data sets into training and test sets. Nonmissing elements are randomly selected as the test sets. Then the selected elements are taken as missing, and regarded as training sets. The details can be found in https://arxiv.org/abs/1902.06241.

Usage

dataSplit(dataSets, dataTypes, ratio_mis = 0.1)

Arguments

dataSets	a list contains multiple matrices with same number of rows. Each matrix (samples * variables) indicates a data set.
dataTypes	a string indicates the data types of the multiple data sets.
ratio_mis	how many percent of test set could be? default: 0.1

Value

This function returns a list contains

• trainSets: a list contains the training sets;

• testSets: a list contains the test sets;

• indexSets: a list contains the index sets.

Examples

## Not run: dataSplit(dataSets,dataTypes,ratio_mis=0.1)

YipengUva/RpESCA documentation built on July 2, 2019, 6:41 p.m.