comparisons_to_matrix: Construct Win Matrix from Comparisons

In BSBT: The Bayesian Spatial Bradley--Terry Model

Construct Win Matrix from Comparisons

Description

This function constructs a win matrix from a data frame of comparisons. It is needed for the MCMC functions.

Usage

comparisons_to_matrix(n.objects, comparisons)

Arguments

n.objects	The number of areas in the study.
comparisons	An N x 2 data frame, where N is the number of comparisons. Each row should correspond to a judgment. The first column is the winning object, the second column is the more losing object. The areas should be labeled from 1 to n.objects.

Value

A matrix where the i, j^th element is the number of times object i beat object j.

Examples

#Generate some sample comparisons
comparisons <- data.frame("winner" = c(1, 3, 2, 2), "loser" = c(3, 1, 1, 3))

#Create matrix from comparisons
win.matrix <- comparisons_to_matrix(3, comparisons)

BSBT documentation built on Aug. 9, 2022, 5:06 p.m.