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

Reference

Create Sparse Vectors

Convertion functions

Helper Functions

Utility Functions