splitTrainTest: Split Time Series Data into Training and Testing Sets

In sillasgonzaga/mafs: Multiple Automatic Forecast Selection

Split Time Series Data into Training and Testing Sets

Description

This function splits a time series object into training and testing sets.

Usage

splitTrainTest(dat, numTrain = length(dat) - 10)

Arguments

dat	A time series object (of class 'ts').
numTrain	An integer specifying the number of observations to include in the training set. Defaults to 'length(dat) - 10'.

Value

A list containing:

train	A time series object containing the training data.
test	A time series object containing the testing data.

Examples

ts_data <- ts(1:100, start = c(2000, 1), frequency = 12)
split_data <- splitTrainTest(ts_data, numTrain = 80)
train_set <- split_data$train
test_set <- split_data$test

sillasgonzaga/mafs documentation built on Feb. 7, 2025, 12:31 p.m.