set_binomialfreq: Binomial frequency rankings from pairwise contests

In agrobioinfoservices/gosset: Tools for Data Analysis in Experimental Agriculture

Binomial frequency rankings from pairwise contests

Description

Binary comparisons from a ranking object. Ties are not taken into account, then they are added as NA's.

Usage

set_binomialfreq(object, drop.null = FALSE, disaggregate = FALSE)

Arguments

object	an object of class rankings, grouped_rankings or paircomp
drop.null	logical, an optional argument to remove null contests
disaggregate	logical, if TRUE binaries are disaggregated by individual contests

Value

A data.frame with binary rank of pairwise contests:

player1	a factor with n levels for the first player in the contests
player2	a factor with n levels (same as player1) for the second player in the contests
win1	number of times player1 wins against player2
win2	number of times player2 wins against player1

Author(s)

Kauê de Sousa

References

Turner H. & Firth D. (2012). Journal of Statistical Software, 48(9), 1–21. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.18637/jss.v048.i09")}

See Also

Other rank functions: rank_numeric(), rank_tricot(), set_paircomp()

Examples

library("PlackettLuce")

R = matrix(c(1, 2, 0, 0,
              4, 1, 2, 3,
              2, 4, 3, 1,
              1, 2, 3, 0,
              2, 1, 1, 0,
              1, 0, 3, 2), nrow = 6, byrow = TRUE)
colnames(R) = c("apple", "banana", "orange", "pear")

R = as.rankings(R)

set_binomialfreq(R)

set_binomialfreq(R, disaggregate = TRUE)

agrobioinfoservices/gosset documentation built on March 13, 2024, 11:23 a.m.