Brat {VGAM} | R Documentation |
Takes in a square matrix of counts and outputs
them in a form that is accessible to the brat
and bratt
family functions.
Brat(mat, ties = 0 * mat, string = c(" > "," == "))
mat |
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. |
ties |
Matrix of counts. This should be the same
dimension as |
string |
Character.
The matrices are labelled with the first value of the descriptor, e.g.,
|
In the VGAM package it is necessary for each matrix to
be represented as a single row of data by brat
and
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 M(M-1) values.
A matrix with 1 row and either M(M+1) or M(M-1) columns.
This is a data preprocessing function for
brat
and bratt
.
Yet to do: merge InverseBrat
into brat
.
T. W. Yee
Agresti, A. (2002) Categorical Data Analysis, 2nd ed. New York: Wiley.
journal = c("Biometrika", "Comm Statist", "JASA", "JRSS-B") m = matrix(c( NA, 33, 320, 284, 730, NA, 813, 276, 498, 68, NA, 325, 221, 17, 142, NA), 4, 4) dimnames(m) = list(winner = journal, loser = journal) Brat(m) vglm(Brat(m) ~ 1, brat, trace = TRUE)