In some distribution of ranking data, not all possible permutation patterns
may be realized due to the sample size or skewed distribution of
preferences.
Usage
permn_augment(tab, J = NULL)
Arguments
- tab
A table of observed permutation patterns.
- J
The length of the reference choice set. Defaults to `NULL`, in
which case it is inferred from the permutation labels. For `J > 9`,
delimiter-separated or zero-padded labels are unambiguous. Compact labels
such as `"12345678910"` are parsed when possible, and the augmented output
is returned in an unambiguous canonical format.
Value
A table of observed permutation patterns augmented with all possible
permutation patterns.
Details
This function augments the given table with all possible observed
permutation patterns with a frequency of zero for unrealized patterns.
Currently, this only takes full rankings into account, as opposed to partial
rankings.
Examples
tab <- table(c(rep("123", 100), rep("321", 50)))
permn_augment(tab, J = 3)
#> 123 132 213 231 312 321
#> 100 0 0 0 0 50
tab <- table(c("123", "321", "213", "312", "132", "231"))
permn_augment(tab, J = 3)
#> 123 132 213 231 312 321
#> 1 1 1 1 1 1
