check_missing: Check missing rate in variables.
In wangyuchen/extdplyr: Data Manipulation Extensions of 'Dplyr' and 'Tidyr'

Description Usage Arguments Functions Author(s)

Check missing (NA) proportion or counts of variables. This function works like summarize_at where the missing rate or count for the selected columns are returned.

1
2
3

check_missing(data, ..., ret_prop = TRUE)

check_missing_(data, ..., .dots, ret_prop = TRUE)

`data`	A `data.frame` or `tbl`.
`...`	One or more unquoted expressions separated by commas. You can treat variable names like they are positions, so you can use expressions like `x:y` to select ranges of variables. Positive values select variables; negative values drop variables. If the first expression is negative, `select()` will automatically start with all variables. Use named arguments, e.g. `new_name = old_name`, to rename selected variables. The arguments in `...` are automatically quoted and evaluated in a context where column names represent column positions. They also support unquoting and splicing. See `vignette("programming")` for an introduction to these concepts. See select helpers for more details and examples about tidyselect helpers such as `starts_with()`, `everything()`, ...
`ret_prop`	Whether to return the rate of missing (default) or counts.
`.dots`	Used in conjunction with `...` to support both explicit and implicit arguments.