This routine returns a matrix containing all the unique rows of the matrix supplied as its argument. That is, all the duplicate rows are stripped out. Note that the ordering of the rows on exit is not the same as on entry. It also returns an index attribute for relating the result back to the original matrix.

`uniquecombs(x)`

x

is an R matrix (numeric)

A matrix consisting of the unique rows of `x`

(in arbitrary order).

The matrix has an `"index"`

attribute. `index[i]`

gives the row of the returned
matrix that contains row i of the original matrix.

Models with more parameters than unique combinations of covariates are not identifiable. This routine provides a means of evaluating the number of unique combinations of covariates in a model. The routine calls compiled C code.

`unique`

can do the same thing, including for
non-numeric matrices, but more slowly and without returning the
index.

# NOT RUN { X<-matrix(c(1,2,3,1,2,3,4,5,6,1,3,2,4,5,6,1,1,1),6,3,byrow=TRUE) print(X) Xu <- uniquecombs(X);Xu ind <- attr(Xu,"index") ## find the value for row 3 of the original from Xu Xu[ind[3],];X[3,] # }