Package edu.cmu.tetrad.data

Class BootstrapSampler

java.lang.Object

edu.cmu.tetrad.data.BootstrapSampler

public final class BootstrapSampler
extends Object

Provides a static method for sampling with replacement from a dataset to create a new dataset with a sample size supplied by the user.

Since sampling is done with replacement, the output dataset can have more samples than the input.

Version:

$Id: $Id

Author:

Frank Wimberly

Constructor Summary

Constructors

Constructor	Description
BootstrapSampler()	Constructs a sample that does not do any logging.

Method Summary

Modifier and Type	Method	Description
boolean	isWithoutReplacements()	This method takes a dataset and a sample size and creates a new dataset containing that number of samples by
DataSet	sample(DataSet dataSet, int newSampleSize)	This method takes a dataset and a sample size and creates a new dataset containing that number of samples by drawing with replacement from the original dataset.
void	setWithoutReplacements(boolean withoutReplacements)	This method takes a dataset and a sample size and creates a new dataset containing that number of samples by drawing with replacement from the original dataset.

Methods inherited from class java.lang.Object

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

Constructor Details

BootstrapSampler

public BootstrapSampler()

Constructs a sample that does not do any logging.

Method Details

sample

public DataSet sample(DataSet dataSet,
 int newSampleSize)

This method takes a dataset and a sample size and creates a new dataset containing that number of samples by drawing with replacement from the original dataset.

Parameters:

dataSet - the dataset to sample from

newSampleSize - the number of samples to draw

Returns:

a DataSet object

isWithoutReplacements

public boolean isWithoutReplacements()

This method takes a dataset and a sample size and creates a new dataset containing that number of samples by

Returns:

the sample size

setWithoutReplacements

public void setWithoutReplacements(boolean withoutReplacements)

This method takes a dataset and a sample size and creates a new dataset containing that number of samples by drawing with replacement from the original dataset.

Parameters:

withoutReplacements - the sample size