On 27/06/2016 10:46 AM, Hadley Wickham wrote:
On Mon, Jun 27, 2016 at 9:03 AM, Duncan Murdoch
<murdoch.dun...@gmail.com> wrote:
> 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.

Which we did do - the problem is that this is actually caused by a
recursive reverse dependency (lsmeans -> dplyr -> tibble), and we
didn't correctly anticipate how much pain this would cause.

In fact, it's even harder than that, according to a message Russell sent me in private. Neither package depends on the other; it happens when a user passes a 'tbl_df' object to Russell's package, and the tibble methods get called for it. This is an unfortunate consequence of the S3 system: there's no place to define exactly what S3 methods are supposed to do, and no easy way for a package writer to test against all possible objects that might get passed in.

I guess my advice would be not to trigger an error in a case like this, though you might want to lobby for the base "[[" and "$" methods to (optionally?) do so.

Duncan Murdoch

______________________________________________
R-package-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-package-devel

Reply via email to