Subset a matrix to selected rows and discard rows with missing or zero
variance. Sparse input remains sparse.
Usage
filter_nonzero_variance_features(x, features)
Arguments
- x
A matrix or a `Matrix` sparse matrix.
- features
Row names or indices to retain before variance filtering.
Value
`x` restricted to selected rows whose variance is positive.
Examples
filter_nonzero_variance_features(
matrix(c(1, 1, 1, 1, 1, 2), nrow = 2),
features = 1:2
)
#> [,1] [,2] [,3]
#> [1,] 1 1 2
