sim_dgc

Simulate a dbSparseMatrix in memory

Simulate a dbDenseMatrix in memory.

Usage

sim_duckdb(value = datasets::iris, name = "test", con = NULL, memory = TRUE)

sim_dgc(num_rows = 50, num_cols = 50, n_vals = 50)

sim_denseMat(num_rows = 50, num_cols = 50)

sim_ijx_matrix(mat_type = NULL, num_rows = 50, num_cols = 50, seed_num = 42)

sim_dbSparseMatrix(
  num_rows = 50,
  num_cols = 50,
  seed_num = 42,
  name = "sparse_test",
  memory = FALSE
)

sim_dbDenseMatrix(
  num_rows = 50,
  num_cols = 50,
  seed_num = 42,
  name = "dense_test",
  memory = FALSE
)

Arguments

num_rows

The number of rows in the matrix (default: 50)

num_cols

The number of columns in the matrix (default: 50)

seed_num

The seed number for reproducibility (default: 42)

Value

A dgCMatrix object

Details

This function generates a simulated sparse matrix (dgCMatrix) with number of rows and columns and sets n_vals random values to a non-zero value.

This function generates a simulated dense matrix object with a specified number of rows and columns.

This function generates an ijx representation of a simulated dgCMatrix object with a specified number of rows and columns and sets 50 random values to a non-zero value.

Functions

• sim_duckdb(): Simulate a duckdb connection dplyr tbl_Pool in memory

• sim_dgc(): Simulate a dgcMatrix

• sim_denseMat(): Simulate a dense matrix

• sim_ijx_matrix(): Simulate a duckdb connection dplyr tbl_Pool in memory

• sim_dbSparseMatrix(): Simulate a dbSparseMatrix in memory

• sim_dbDenseMatrix(): Simulate a dbDenseMatrix in memory

Examples

sim_ijx_matrix()
#> Error in sim_ijx_matrix(): could not find function "sim_ijx_matrix"