Completion of partial rankings/orderings
Return complete rankings/orderings from partial sequences relying on a random generation of the missing positions/items.
make_complete(data, format_input, nranked = NULL, probitems = rep(1, ncol(data)))
data |
Numeric NxK data matrix of partial sequences to be completed. |
format_input |
Character string indicating the format of the |
nranked |
Optional numeric vector of length N with the number of items ranked by each sample unit. |
probitems |
Numeric vector with the K item-specific probabilities to be employed for the random generation of the missing positions/items (see 'Details'). Default is equal probabilities. |
The completion of the partial top rankings/orderings is performed according to the Plackett-Luce scheme, that is, with a sampling without replacement of the not-ranked items by using the positive values in the probitems argument as support parameters (normalization is not necessary).
A list of two named objects:
|
Numeric NxK data matrix of complete sequences with the same format of the input |
|
Numeric vector of length N with the number of items ranked by each sample unit of the input |
Cristina Mollica and Luca Tardella
## Completion based on the top item frequencies
data(d_dublinwest)
head(d_dublinwest)
top_item_freq <- rank_summaries(data=d_dublinwest, format_input="ordering", mean_rank=FALSE,
pc=FALSE)$marginals["Rank_1",]
d_dublinwest_compl <- make_complete(data=d_dublinwest, format_input="ordering",
probitems=top_item_freq)
head(d_dublinwest_compl$completedata)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.