sparsevctrs (version 0.3.1)

coerce_to_sparse_data_frame: Coerce sparse matrix to data frame with sparse columns

Description

Turning a sparse matrix into a data frame

Usage

coerce_to_sparse_data_frame(x, call = rlang::caller_env(0))

Value

data.frame with sparse columns

Arguments

x

sparse matrix.

call

The execution environment of a currently running function, e.g. caller_env(). The function will be mentioned in error messages as the source of the error. See the call argument of abort() for more information.

Details

The only requirement from the sparse matrix is that it contains column names.

See Also

coerce_to_sparse_tibble() coerce_to_sparse_matrix()

Examples

set.seed(1234)
mat <- matrix(sample(0:1, 100, TRUE, c(0.9, 0.1)), nrow = 10)
colnames(mat) <- letters[1:10]
sparse_mat <- Matrix::Matrix(mat, sparse = TRUE)
sparse_mat

res <- coerce_to_sparse_data_frame(sparse_mat)
res

# All columns are sparse
vapply(res, is_sparse_vector, logical(1))