sparsity() estimates the percentage of entries in a given data matrix D
whose values are "practically zero". If the absolute value of an entry is
below a given threshold parameter thresh, then that value is determined
to be "practically zero", increasing the estimated sparsity of D. Note
that NA values are imputed as 0 before the sparsity calculation is made.
Usage
sparsity(D, thresh = 1e-04)
Arguments
- D
The input data matrix.
- thresh
(Optional) A numeric threshold >= 0 used to determine if an
entry in D is "practically zero". If the absolute value of an entry is
below thresh, then it is judged to be "practically zero". By default,
thresh = 1e-04.
Value
The sparsity of D, measured as the percentage of entries in D
that are "practically zero".
Examples
sparsity(matrix(rep(c(1, 0), 8), 4, 4))
#> [1] 0.5
sparsity(matrix(0:8, 3, 3))
#> [1] 0.1111111
sparsity(matrix(0, 3, 3))
#> [1] 1
