Description Usage Arguments Details Value Note Author(s) References See Also Examples

Takes in a square matrix of counts and outputs
them in a form that is accessible to the `brat`

and `bratt`

family functions.

1 |

`mat` |
Matrix of counts, which is considered |

`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., |

`whitespace` |
Logical. If |

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. (2013).
*Categorical Data Analysis*,
3rd ed. Hoboken, NJ, USA: Wiley.

`brat`

,
`bratt`

,
`InverseBrat`

.

1 2 3 4 5 6 7 | ```
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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