D-value for hypothesis test using vectors

This function shows the D-value of a hypothesis test for two samples using non-summarized data, that is, vectors.

d.meantest(x, y, alternative = "less", nrep = 1e+06)

Arguments

x: vector sample data x.
y: vector sample data 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

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.

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.

Examples

d.meantest(x=c(2,3,4,5,6), y=c(3,4,5,6,7), alternative="two.sided")
#> 
#> 	Two Sample d.test
#> 
#> data:  The D-value was calculated using nrep= 1e+06
#> d.value = 0.65494
#> alternative hypothesis: two.sided
#> sample estimates:
#> mean of x mean of y 
#>         4         5 
#>