STSLIB::StatsTtest Class Reference

T-test statistical testing. More...

#include <sts_ttest.h>

Static Public Member Functions
static StatsTtestResult	oneSample (const Eigen::MatrixXd &data, double mu=0.0, StatsTailType tail=StatsTailType::Both)
static StatsTtestResult	paired (const Eigen::MatrixXd &dataA, const Eigen::MatrixXd &dataB, StatsTailType tail=StatsTailType::Both)
static StatsTtestResult	independent (const Eigen::MatrixXd &dataA, const Eigen::MatrixXd &dataB, StatsTailType tail=StatsTailType::Both)
static double	tCdf (double t, int df)
static double	regularizedBeta (double x, double a, double b)

Detailed Description

T-test statistical testing.

Provides t-test implementations: one-sample, paired, and independent two-sample.

Definition at line 74 of file sts_ttest.h.

Member Function Documentation

independent()

StatsTtestResult StatsTtest::independent ( const Eigen::MatrixXd & dataA, const Eigen::MatrixXd & dataB, StatsTailType tail = StatsTailType::Both )

static

Independent two-sample t-test.

Parameters

[in]	dataA	Matrix of observations for group A (rows = observations, cols = variables).
[in]	dataB	Matrix of observations for group B (same number of columns as dataA).
[in]	tail	Tail type for the test.

Returns

StatsTtestResult with t-statistics, p-values, and degrees of freedom.

Definition at line 94 of file sts_ttest.cpp.

oneSample()

StatsTtestResult StatsTtest::oneSample ( const Eigen::MatrixXd & data, double mu = 0.0, StatsTailType tail = StatsTailType::Both )

static

One-sample t-test. Each column of data is tested against mu.

Parameters

[in]	data	Matrix of observations (rows = observations, cols = variables).
[in]	mu	Hypothesized mean (default 0.0).
[in]	tail	Tail type for the test.

Returns

StatsTtestResult with t-statistics, p-values, and degrees of freedom.

Definition at line 55 of file sts_ttest.cpp.

paired()

StatsTtestResult StatsTtest::paired ( const Eigen::MatrixXd & dataA, const Eigen::MatrixXd & dataB, StatsTailType tail = StatsTailType::Both )

static

Paired t-test. Tests dataA - dataB against 0.

Parameters

[in]	dataA	Matrix of observations for condition A.
[in]	dataB	Matrix of observations for condition B (same dimensions as dataA).
[in]	tail	Tail type for the test.

Returns

StatsTtestResult with t-statistics, p-values, and degrees of freedom.

Definition at line 87 of file sts_ttest.cpp.

regularizedBeta()

double StatsTtest::regularizedBeta ( double x, double a, double b )

static

Regularized incomplete beta function I_x(a, b). Public because it is also used by StatsFtest.

Definition at line 162 of file sts_ttest.cpp.

tCdf()

double StatsTtest::tCdf ( double t, int df )

static

Compute the CDF of the t-distribution using the regularized incomplete beta function.

Parameters

[in]	t	The t-value.
[in]	df	Degrees of freedom.

Returns

The probability P(T <= t).

Definition at line 130 of file sts_ttest.cpp.

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The documentation for this class was generated from the following files:

• src/libraries/sts/sts_ttest.h
• src/libraries/sts/sts_ttest.cpp