Takes in a square matrix of counts and outputs
them in a form that is accessible to the
bratt family functions.
Matrix of counts, which is considered M by M in dimension when there are ties, and M+1 by M+1 when there are no ties. The rows are winners and the columns are losers, e.g., the 2-1 element is now many times Competitor 2 has beaten Competitor 1. The matrices are best labelled with the competitors' names.
Matrix of counts.
This should be the same dimension as
The matrices are labelled with the first value of the
In the VGAM package it is necessary for each
matrix to be represented as a single row of data by
bratt. Hence the
non-diagonal elements of the M+1 by M+1
matrix are concatenated into M(M+1) values (no
ties), while if there are ties, the non-diagonal elements
of the M by M matrix are concatenated into
A matrix with 1 row and either M(M+1) or M(M-1) columns.
This is a data preprocessing function for
Yet to do: merge
T. W. Yee
Agresti, A. (2013). Categorical Data Analysis, 3rd ed. Hoboken, NJ, USA: Wiley.
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journal <- c("Biometrika", "Comm Statist", "JASA", "JRSS-B") mat <- matrix(c( NA, 33, 320, 284, 730, NA, 813, 276, 498, 68, NA, 325, 221, 17, 142, NA), 4, 4) dimnames(mat) <- list(winner = journal, loser = journal) Brat(mat) # Less readable Brat(mat, whitespace = TRUE) # More readable vglm(Brat(mat, whitespace = TRUE) ~ 1, brat, trace = TRUE)
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