Top-ordering datasets
Check the consistency of partial ordering data with a top-ordering dataset.
is.top_ordering(data, ...)
data |
An object containing the partial orderings whose consistency with a top-ordering dataset has to be tested. The following classes are admissible for |
... |
Further arguments passed to or from other methods (not used). |
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.
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.
Cristina Mollica and Luca Tardella
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
## 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)
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