This function shows the D-value of a hypothesis test for two samples using summarized values, not the vectors.
d_meantest(meanx, varx, meany, vary, alternative = "less", nrep = 1e+06)sample mean for sample x.
sample variance for sample x.
sample mean for sample y.
sample variance for sample y.
a character string specifying the alternative hypothesis, must be one of "less" (default), "greater" or "two.sided". You can specify just the initial letter.
number of repetions to obtain the D-value, by default is 1000000
A list with class "htest" containing the following
components:
the d-value for the test.
the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test.
a character string describing the alternative hypothesis.
a character string indicating the type of test performed.
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 with TWO-SAMPLES and equal variances ---
d_meantest(meanx=250, varx=20^2, meany=249, vary=20^2, alternative='greater')
#>
#> Two Sample d.test
#>
#> data: The D-value was calculated using nrep= 1e+06
#> d.value = 0.5135
#> alternative hypothesis: greater
#> sample estimates:
#> mean of x mean of y
#> 250 249
#>