Package index • sparsevctrs

Create Sparse Vectors

sparse_double(): Create sparse double vector

sparse_integer(): Create sparse integer vector

sparse_character(): Create sparse character vector

sparse_logical(): Create sparse logical vector

Convertion functions

coerce_to_sparse_data_frame(): Coerce sparse matrix to data frame with sparse columns

coerce_to_sparse_matrix(): Coerce sparse data frame to sparse matrix

coerce_to_sparse_tibble(): Coerce sparse matrix to tibble with sparse columns

as_sparse_double() as_sparse_integer() as_sparse_character() as_sparse_logical(): Coerce numeric vector to sparse double

Helper Functions

sparse_mean(): Calculate mean from sparse vectors

sparse_var(): Calculate variance from sparse vectors

sparse_sd(): Calculate standard diviation from sparse vectors

sparse_median(): Calculate median from sparse vectors

sparse_sqrt(): Calculate sqrt of sparse vectors

sparse_replace_na(): Replace NAs with specified values in sparse vectors

sparse_is_na(): Detect Pressence of Missing Values

sparse_which_na(): Which indices are Missing Values

sparse_lag(): Compute lagged values for sparse vectors

sparse_dummy(): Generate sparse dummy variables

sparsity(): Calculate sparsity of data frames, matrices, and sparse matrices

Utility Functions

is_sparse_vector() is_sparse_numeric() is_sparse_double() is_sparse_integer() is_sparse_character() is_sparse_logical(): Sparse vector type checkers

sparse_division_scalar() sparse_multiplication_scalar() sparse_addition_scalar() sparse_subtraction_scalar(): Scalar arithmatic with sparse vectors

sparse_multiplication(): Vector arithmatic with sparse vectors

sparse_positions() sparse_values() sparse_default(): Information extraction from sparse vectors

has_sparse_elements(): Check for sparse elements

sparsevctrs_options: sparsevctrs options