uniquecombs {mgcv} | R Documentation |

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

uniquecombs(x,ordered=FALSE)

`x` |
is an |

`ordered` |
set to |

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.

When `x`

has only one column then the routine
uses `unique`

and `match`

to get the index. When there are
multiple columns then it uses `paste0`

to produce labels for each row,
which should be unique if the row is unique. Then `unique`

and `match`

can be used as in the single column case. Obviously the pasting is inefficient, but
still quicker for large n than the C based code that used to be called by this routine, which
had O(nlog(n)) cost. In principle a hash table based solution in C
would be only O(n) and much quicker in the multicolumn case.

`unique`

and `duplicated`

, can be used
in place of this, if the full index is not needed. Relative performance is variable.

If `x`

is not a matrix or data frame on entry then an attempt is made to coerce
it to a data frame.

A matrix or data frame consisting of the unique rows of `x`

(in arbitrary order).

The matrix or data frame has an `"index"`

attribute. `index[i]`

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

If a dataframe contains variables of a type other than numeric, logical, factor or character, which
either have no `as.character`

method, or whose `as.character`

method is a many to one mapping,
then the routine is likely to fail.

If the character representation of a dataframe variable (other than of class factor of character) contains `*`

then in principle the method could fail (but with a warning).

Simon N. Wood simon.wood@r-project.org with thanks to Jonathan Rougier

require(mgcv) ## matrix example... 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,] ## same with fixed output ordering Xu <- uniquecombs(X,TRUE);Xu ind <- attr(Xu,"index") ## find the value for row 3 of the original from Xu Xu[ind[3],];X[3,] ## data frame example... df <- data.frame(f=factor(c("er",3,"b","er",3,3,1,2,"b")), x=c(.5,1,1.4,.5,1,.6,4,3,1.7), bb = c(rep(TRUE,5),rep(FALSE,4)), fred = c("foo","a","b","foo","a","vf","er","r","g"), stringsAsFactors=FALSE) uniquecombs(df)

[Package *mgcv* version 1.8-31 Index]