Package edu.cmu.tetrad.data

Class DataSampling

java.lang.Object

edu.cmu.tetrad.data.DataSampling

public final class DataSampling
extends Object

A utility for resampling dataset.

Feb 20, 2024 6:57:28 PM

Author:

Kevin V. Bui (kvb2univpitt@gmail.com)

Method Summary

Modifier and Type	Method	Description
static DataSet	createDataSample(DataSet dataSet, org.apache.commons.math3.random.RandomGenerator randomGenerator, int[] selectedColumns, Parameters parameters, double percentResamplingSize)	Creates a resampled dataset from the given dataset based on the specified parameters.
static List<DataSet>	createDataSamples(DataSet dataSet, org.apache.commons.math3.random.RandomGenerator randomGenerator, Parameters parameters)	Create a list of dataset resampled from the given dataset.
static List<DataSet>	createDataSamples(org.apache.commons.math3.random.RandomGenerator randomGenerator, DataSet dataSet, Parameters parameters)	Create a list of dataset resampled from the given dataset.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

createDataSamples

public static List<DataSet> createDataSamples(org.apache.commons.math3.random.RandomGenerator randomGenerator,
 DataSet dataSet,
 Parameters parameters)

Create a list of dataset resampled from the given dataset.

Parameters:

randomGenerator - the random number generate to use.

dataSet - dataset to resample

parameters - bootstrap-related parameters

Returns:

a list of resampled dataset

createDataSamples

public static List<DataSet> createDataSamples(DataSet dataSet,
 org.apache.commons.math3.random.RandomGenerator randomGenerator,
 Parameters parameters)

Create a list of dataset resampled from the given dataset.

Parameters:

dataSet - dataset to resample

randomGenerator - random number generator (optional)

parameters - bootstrap-related parameters

Returns:

a list of resampled dataset

createDataSample

public static DataSet createDataSample(DataSet dataSet,
 org.apache.commons.math3.random.RandomGenerator randomGenerator,
 int[] selectedColumns,
 Parameters parameters,
 double percentResamplingSize)

Creates a resampled dataset from the given dataset based on the specified parameters.

Parameters:

dataSet - the input dataset from which the sample will be created

randomGenerator - the random number generator used for sampling

selectedColumns - an array of column indices to include in the sampled dataset

parameters - the parameters for sampling, including sampling fraction and resampling method

percentResamplingSize - The percentage of random rows to use for each resampling.

Returns:

a new dataset containing the selected rows and columns