t_tests: T-Tests

In boostmath: 'R' Bindings for the 'Boost' Math Functions

T-Tests

Description

Functions for T - Tests.

Usage

one_sample_t_test_params(
  sample_mean,
  sample_variance,
  num_samples,
  assumed_mean
)

one_sample_t_test(u, assumed_mean)

two_sample_t_test(u, v)

paired_samples_t_test(u, v)

Arguments

sample_mean	A single value.
sample_variance	A single value.
num_samples	A single value.
assumed_mean	A single value.
u	A numeric vector.
v	A numeric vector.

Value

A two-element numeric vector containing the t-statistic and the p-value.

See Also

Boost Documentation for more details on the mathematical background.

Examples

# One Sample T-Test Parameters
one_sample_t_test_params(sample_mean = 2, sample_variance = 1, num_samples = 30, assumed_mean = 0)
# One Sample T-Test
one_sample_t_test(c(5, 6, 7), assumed_mean = 4)
# Two Sample T-Test
two_sample_t_test(c(5, 6, 7), c(4, 5, 6))
# Paired Samples T-Test
paired_samples_t_test(c(5, 6, 7), c(4, 5, 6))

boostmath documentation built on Dec. 15, 2025, 5:07 p.m.