remove_empty: select empty columns
I have come across a number of cases where I'd like to remove rows (column) that are empty for some selected columns (rows), but not all. The most straightforward example is that of a data table that has non-empty keys in all rows, but some rows have no information in the other columns. Like this:
| key | var1 | var2 | var3 |
|---|---|---|---|
| 1 | 10 | "foo" | TRUE |
| 2 | NA | NA | NA |
| 3 | 32 | "bar" | TRUE |
Although the second row is not completely empty, it would be useful to be able to remove it quickly and neatly.
Would the ideal implementation of this be a tidyselect ... for the remove_empty function, so that you could say remove_empty(dat,,,,-key) ? That seems like a worthwhile addition to me, with little downside.
In the meantime would this work?
dat <- data.frame(
key = 1:3,
var1 = c(10, NA, 32),
var2 = c("foo", NA, "bar"),
var3 = c(TRUE, NA, FALSE)
)
dat %>%
remove_empty("rows", cutoff = 0.7)
Great! Yes, the tidyselect is exactly what I had in mind.
And thanks, the cutoff options does the trick for now and is a very nice feature.