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Paired-Samples t-Test

Source: R/ops-timefreq.R
pairedTTest.Rd

Computes the two-sided paired-samples t-test comparing two matched vectors – the one-sample t-test of the within-pair differences \(d = x - y\): \(t = \bar{d} / (s_d / \sqrt{n})\) on \(n - 1\) degrees of freedom. The standard test for before/after or condition-A/condition-B measurements on the same subjects. Reproduces stats::t.test(x, y, paired = TRUE) and scipy.stats.ttest_rel bit-for-bit.

Usage

pairedTTest(x, y = NULL)

Arguments

x

A numeric vector, OR (when y is NULL) a two-column matrix whose columns are the paired samples.

y

A numeric vector matched to x, or NULL if x is a two-column matrix.

Value

A list with statistic (the t-statistic of \(x - y\)), p_value (two-sided) and df.

See also

signalMoments, jarqueBeraTest.

Examples

set.seed(1); pairedTTest(rnorm(20, 1), rnorm(20))$statistic  # x shifted up -> positive t
#> [1] 2.578616