RSNNS (version 0.3-1)

splitForTrainingAndTest: Function to split data into training and test set.

Description

Function to split data into training and test set.

Usage

splitForTrainingAndTest(x, y, ratio=0.15)

Arguments

x

inputs

y

targets

ratio

ratio of training and test sets (default: 15% of the data is used for testing)

Value

• a named list with the following elements:
• inputsTrain
  a matrix containing the training inputs
• targetsTrain
  a matrix containing the training targets
• inputsTest
  a matrix containing the test inputs
• targetsTest
  a matrix containing the test targets

Details

Split the input and target values to a training and a test set. Test set is taken from the end of the data. If the data is to be shuffled, this should be done before calling this function.

Examples

data(iris)
#shuffle the vector
iris <- iris[sample(1:nrow(iris),length(1:nrow(iris))),1:ncol(iris)]

irisValues <- normalizeData(iris[,1:4], "norm")
irisTargets <- decodeClassLabels(iris[,5])

splitForTrainingAndTest(irisValues, irisTargets, ratio=0.15)