A graphical user interface for the package rankFD

Share:

Description

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

Usage

1

Details

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.

References

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.