Diag | R Documentation |

Converts two or more factors into a new factor whose value is 0 where the original factors are not all equal, and nonzero otherwise.

Diag(..., binary = FALSE)

`...` |
One or more factors |

`binary` |
Logical |

Used mainly in regression models for data classified by
two or more factors with the same levels. By default,
operates on k-level factors to produce a new factor having k+1 levels;
if `binary = TRUE`

is specified, the result is a coarser binary
variable equal to 1 where all of the input factors are equal and 0
otherwise.

If the original levels are identical the levels of the factor created
in the `binary = FALSE`

case will be in the same order, with
`"."`

added as the first level. Otherwise the levels of the new
factor will be `"."`

followed by the sorted combined levels.

Either a factor (if `binary = FALSE`

) or a 0-1 numeric vector
(if `binary = TRUE`

).

David Firth and Heather Turner

`Symm`

rowfac <- gl(4, 4, 16) colfac <- gl(4, 1, 16) diag4by4 <- Diag(rowfac, colfac) matrix(Diag(rowfac, colfac, binary = TRUE), 4, 4)

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