Description Usage Details References

This function provides a graphical user interface for calculating rank-based statistical tests in general factorial designs.

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The function produces a GUI for the calculation of the test statistics and
for plotting. Data can be loaded via the "load data" button. The formula
and the significance level alpha (default: 0.05) need to be specified.
One can choose between two different null hypotheses (*H_0^F* and *H_0^p*, see the details
to `rankFD`

) to be tested as well as
weighted or unweighted effects as discussed in Brunner et al. (2016) (*r_i* and *p_i* in
their notation).
If the plot option is chosen, an additional window opens containing
information on the plots.

Brunner, E., Konietschke, F., Pauly, M. and Puri, M.L. (2016). Rank-Based Procedures in Factorial Designs: Hypotheses about Nonparametric Treatment Effects. arXiv:1606.03973

Akritas, M. G., Arnold, S. F., and Brunner, E. (1997). Nonparametric hypotheses and rank statistics for unbalanced factorial designs. Journal of the American Statistical Association 92, 258-265.

Brunner, E., Dette, H., and Munk, A. (1997). Box-Type Approximations in Nonparametric Factorial Designs. Journal of the American Statistical Association 92, 1494-1502.

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