psr: A function for computing pseudo-ranks of data

In rankFD: Rank-Based Tests for General Factorial Designs

A function for computing pseudo-ranks of data

Description

The psr() function calculates pseuo-ranks of data in general factorial designs. It returns the input data set complemented by an additional variable containing the pseudo-ranks. We note that more efficient algorithms for the computation of pseudo-ranks are implemented within the package pseudorank.

Usage

psr(formula, data, psranks = "pseudorank")

Arguments

formula	A model formula object. The left hand side contains the response variable and the right hand side contains the factor variables of interest. Please use one-way layouts for the computation of the pseudo-ranks only. In case of higher-way layouts, please use a 'help factor' that#' shrinks the layout to a one-way design.
data	A data.frame, list or environment containing the variables in formula. The default option is NULL.
psranks	A header specifying the name of the pseudo ranks in the output data set.

Details

The pseudo-ranks are exported within a new column attached to the given data set.

References

Konietschke, F., Hothorn, L. A., & Brunner, E. (2012). Rank-based multiple test procedures and simultaneous confidence intervals. Electronic Journal of Statistics, 6, 738-759.

Brunner, E., Bathke, A. C., Konietschke, F. (2018). Rank and pseudo-rank procedures for independent observations in factorial designs. Springer International Publishing.

Happ, M., Zimmermann, G., Brunner, E., Bathke, A. C. (2020). Pseudo-ranks: How to calculate them efficiently in R. Journal of Statistical Software, 95(1), 1-22.

See Also

rankFD

Examples

data(Muco)
Muco2 <- psr(HalfTime~Disease,data=Muco, psranks="Mypseudos")

rankFD documentation built on March 23, 2022, 5:08 p.m.