[R-pkg-devel] Absent variables and tibble

On 27/06/2016 9:22 AM, Lenth, Russell V wrote:

My package 'lsmeans' is now suddenly broken because of a new provision in
the 'tibble' package (loaded by 'dplyr' 0.5.0), whereby the "[[" and "$"
methods for 'tbl_df' objects - as documented - throw an error if a variable
is not found.

The problem is that my code uses tests like this:

        if (is.null (x$var)) {...}

to see whether 'x' has a variable 'var'. Obviously, I can work around this
using

        if (!("var" %in% names(x))) {...}

but (a) I like the first version better, in terms of the code being
understandable; and (b) isn't there a long history whereby we can expect a
NULL result when accessing an absent member of a list (and hence a
data.frame)? (c) the code base for 'lsmeans' has about 50 instances of such
tests.

Anyway, I wonder if a lot of other package developers test for absent
variables in that first way; if so, they too are in for a rude awakening if
their users provide a tbl_df instead of a data.frame. And what is considered
the best practice for testing absence of a list member? Apparently, not
either of the above; and because of (c), I want to do these many tedious
corrections only once.

Thanks for any light you can shed.

This is why CRAN asks that people test reverse dependencies.

I think the most defensive thing you can do is to write a small function

name_missing <- function(x, name)
    !(name %in% names(x))

and use name_missing(x, "var") in your tests.  (Pick your own name to make
your code understandable if you don't like my choice.)

You could suggest to the tibble maintainers that they add a function like
this.