mcdeloof {MARMoT}R Documentation

Average rank with Deloof's approximation (parallel computing)

Description

Compute the average with using Deloof's approximation, using parallel computing; it can be used only on Linux and Mac systems!

Usage

mcdeloof(comparable_data, n.cores)

Arguments

comparable_data

A dataframe or equivalent, which columns are ordered factors or numeric variables.

n.cores

Number of cores to be used.

Value

A vector containing the average rank of all the observations (it is recommended to normalized it before use).

References

Caperna, G., 2019. Approximation of AverageRank by means of a formula. https://doi.org/10.5281/zenodo.2565699

Examples

AR = mcdeloof(deloof_data, n.cores = 1)


[Package MARMoT version 0.0.4 Index]