filter_na: Filter rows with missing values
In jrnold/rubbish: Miscellaneous functions

Remove rows with missing values in variables that are selected.

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filter_na(.data, ..., .all = FALSE, .finite = FALSE)

filter_na_(.data, ..., .dots, .all = FALSE, .finite = FALSE)

`.data`	A `tbl`
`...`	Comma separated list of unquoted expressions. Select variables which to test for missing values using the same semantics as `select`.
`.all`	If `TRUE`, then remove rows in which all columns are missing, else select rows in which any column has a missing value.
`.finite`	For numeric columns, filter using `is.finite`, which will drop rows with `NaN`, `-Inf`, and `Inf` values in addition to `NA`.
`.dots`	use `filter_na_()` to do standard evaluation. See `vignette("nse")` for details.