ranksum | R Documentation |
This function performs power and sample size calculations for the Wilcoxon-Mann-Whitney rank-sum test, also called the Mann-Whitney U test, which is the nonparametric analog of the two independent sample t test. Calculations are based on the approximation given by Noether (1987) Sample size determination for some common nonparametric tests. JASA 82(398):645-647.
ranksum(
n1 = NULL,
n.ratio = 1,
p = NULL,
alpha = 0.05,
power = NULL,
sides = 2,
v = FALSE
)
n1 |
The sample size in group 1. |
n.ratio |
The ratio n2/n1 between the sample sizes of two groups; defaults to 1 (equal group sizes). |
p |
The probability that an observation in group 2 is greater than an observation in group 1 (P(Y>X). |
alpha |
The significance level (type 1 error rate); defaults to 0.05. |
power |
The specified level of power. |
sides |
Either 1 or 2 (default) to specify a one- or two-sided hypothesis test. |
v |
Either TRUE for verbose output or FALSE (default) to output computed argument only. |
Due to symmetry, the power for p is equal to the power for 1 - p. Therefore, when solving for p, two values, p and 1 - p, are returned.
A list of the arguments (including the computed one).
ranksum(n1 = 10, n.ratio = 1, p = 0.8, alpha = 0.05, power = NULL, sides = 2)
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