train_test_subset: Get training and testing subsets of data

In TSPred: Functions for Benchmarking Time Series Prediction

Get training and testing subsets of data

Description

Function subsets data into training and testing datasets.

Usage

train_test_subset(data, train_perc = 0.8, test_len = NULL)

Arguments

data	A numeric vector, time series, data.frame or matrix containg data to be subsetted.
train_perc	Percentage of data observations to compose the training dataset. Ignored if test_len is given.
test_len	Required length of testing dataset. If NULL, 1-train_perc is used for computing the number of data observations in the testing dataset.

Value

A list with train and test subsets of data.

Author(s)

Rebecca Pontes Salles

See Also

Other transformation methods: Diff(), LogT(), WaveletT(), emd(), mas(), mlm_io(), outliers_bp(), pct()

Examples

data(CATS)
d <- train_test_subset(CATS[,1])

swin <- sw(CATS[,1],5)
d_sw <- train_test_subset(swin)

TSPred documentation built on June 11, 2025, 1:07 a.m.