d_meantest: D-value for hypothesis test using values

In fhernanb/stests: Package with useful statistical tests

D-value for hypothesis test using values

Description

This function shows the D-value of a hypothesis test for two samples using summarized values, not the vectors.

Usage

d_meantest(meanx, varx, meany, vary, alternative = "less", nrep = 1e+06)

Arguments

meanx	sample mean for sample x.
varx	sample variance for sample x.
meany	sample mean for sample y.
vary	sample variance for sample y.
alternative	a character string specifying the alternative hypothesis, must be one of "less" (default), "greater" or "two.sided". You can specify just the initial letter.
nrep	number of repetions to obtain the D-value, by default is 1000000

Details

In this case, it is important to explain that the sample size is assumed as n = 1 because the D-value provides an individual analysis.

Value

A list with class "htest" containing the following components:

d.value	the d-value for the test.
estimate	the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test.
alternative	a character string describing the alternative hypothesis.
method	a character string indicating the type of test performed.

Examples

# --- Examples with TWO-SAMPLES and equal variances ---
d_meantest(meanx=250, varx=20^2, meany=249, vary=20^2, alternative='greater')
 

fhernanb/stests documentation built on March 29, 2025, 10:36 a.m.