noether

alpha

power: detect a relative effect p at least with probability power

power

proportion of subjects in the first group (between 0 and 1)

advance information is only needed in case of ties

TRUE if ties are possible (non continuous distribution), otherwise FALSE

ties

Sample size calculation for the Wilcoxon-Mann-Whitney test using the Noether formula. The function estimates the sample size needed to detect the effect with
pre-defined power at significance level alpha using Noether's formula'.

The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type
statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data
in a crossed design with an arbitrary number of factors.
Brunner, E., Bathke, A. and Konietschke, F. (2018) <doi:10.1007/978-3-030-02914-2>.

Frank Konietschke

rankFD

Rank-Based Tests for General Factorial Designs

noether function

Sample size calculation for the Wilcoxon-Mann-Whitney test using the Noether formula. The function estimates the sample size needed to detect the effect with
pre-defined power at significance level alpha using Noether's formula'. — noether

Sample size calculation for the Wilcoxon-Mann-Whitney test using the Noether formula. The function estimates the sample size needed to detect the effect with
pre-defined power at significance level alpha using Noether's formula'.

noether: Sample size calculation for the Wilcoxon-Mann-Whitney test using the Noether formula. The function estimates the sample size needed to detect the effect with pre-defined power at significance level alpha using Noether's formula'.

Description

Usage

Arguments

Value

References

Examples