is.top_ordering function

Top-ordering datasets

Check the consistency of partial ordering data with a top-ordering dataset.

is.top_ordering(data, ...)

Arguments

• data: An object containing the partial orderings whose consistency with a top-ordering dataset has to be tested. The following classes are admissible for data: numeric matrix, data.frame, RandData from the rankdist package and rankings from the PlackettLuce package.
• ...: Further arguments passed to or from other methods (not used).

Returns

Logical: TRUE if the data argument is consistent with a top-ordering dataset (with a possible warning message if the supplied data need a further treatment with the coercion function as.top_ordering before being processed with the core functions of PLMIX) and FALSE otherwise.

Details

The argument data requires the partial sequences expressed in ordering format. When the value of is.top-ordering is FALSE, the membership function returns also a message with the conditions that are not met for the data to be a top-ordering dataset. NA's in the input data are tacitly converted into zero entries.

Examples

## A toy example of data matrix not satisfying the conditions to be a top-ordering dataset
toy_data=rbind(1:5,
c(0,4,3,2,1),
c(4,3.4,2,1,5),
c(2,3,0,0,NA),
c(4,4,3,2,5),
c(3,5,4,2,6),
c(2,-3,1,4,5),
c(2,0,1,4,5),
c(2,3,1,1,1),
c(2,3,0,4,0))

is.top_ordering(data=toy_data) 

## A dataset from the StatRank package satisfying the conditions to be a top-ordering dataset
library(StatRank) 
data(Data.Election9)
is.top_ordering(data=Data.Election9)

References

Turner, H., Kormidis, I. and Firth, D. (2018). PlackettLuce: Plackett-Luce Models for Rankings. R package version 0.2-3. https://CRAN.R-project.org/package=PlackettLuce

Qian, Z. (2018). rankdist: Distance Based Ranking Models. R package version 1.1.3. https://CRAN.R-project.org/package=rankdist

See Also

rankings and rankings

Author(s)

Cristina Mollica and Luca Tardella