Optimized conversion of list to incidence matrix
list2im_opt(setlist, empty = 0, do_sparse = FALSE, ...)list of vectors
default single value used for empty/missing entries,
the default empty=0 uses zero for entries not present.
Another alternative is NA.
Providing a character value will convert the output to
a character matrix, be warned.
logical indicating whether to coerce the output
to sparse matrix class "CsparseMatrix" from the Matrix package.
The default is FALSE as of version 0.0.33.900, since the
most common use case requires a regular matrix.
For extremely large data, consider using a sparse matrix.
additional arguments are ignored.
matrix object with value c(0, 1) when do_sparse=FALSE
(default), or when do_sparse=TRUE, it returns a Matrix object
class "CsparseMatrix" with logical values, only when
Matrix is available.
This function rapidly converts a list of vectors into
an incidence matrix whose rownames are items, and colnames
are the names of the input list. The default output
do_sparse=TRUE returns a logical matrix class ngCMatrix
from the Matrix package. When do_sparse=FALSE the
output is a matrix class with numeric values 0 and 1.
Note that the rows in the output matrix are not sorted, since the step of sorting item names may take several seconds when working with a list whose vectors contain millions of items. For sorted rows, the best remedy is to run this function, the re-order rownames afterward.
Other venndir conversion:
counts2setlist(),
im2list(),
im_value2list(),
list2im_value(),
overlaplist2setlist(),
signed_counts2setlist()
setlist <- list(A=c("one", "two", "three"),
b=c("two", "one", "four", "five"));
list2im_opt(setlist);
#> A b
#> one 1 1
#> two 1 1
#> three 1 0
#> four 0 1
#> five 0 1
list2im_opt(setlist, do_sparse=TRUE);
#> 5 x 2 sparse Matrix of class "ngCMatrix"
#> A b
#> one | |
#> two | |
#> three | .
#> four . |
#> five . |