[R-pkg-devel] tibbles are not data frames

[Gábor Csárdi]

What is the benefit here, compared to just calling as.data.frame() on it?

Gabor

On Tue, Sep 26, 2017 at 11:11 AM, Daniel Lüdecke <d.luedecke at uke.de> wrote:
> Since tibbles add their class attributes first, you could use:
>
> tb <- tibble(a = 5)
> inherits(tb, "data.frame", which = TRUE) == 1
>
> if "tb" is a data frame (only), TRUE is returned, for tibble FALSE. You could then coerce to data frame: as.data.frame(tb)
>
> -----Ursprüngliche Nachricht-----
> Von: R-package-devel [mailto:r-package-devel-bounces at r-project.org] Im Auftrag von Göran Broström
> Gesendet: Dienstag, 26. September 2017 12:09
> An: r-package-devel at r-project.org
> Betreff: Re: [R-pkg-devel] tibbles are not data frames
>
>
>
> On 2017-09-26 11:56, Gábor Csárdi wrote:
>> On Tue, Sep 26, 2017 at 10:35 AM, Joris Meys <Joris.Meys at ugent.be> wrote:
>>> I don't like the dropping of dimensions either. That doesn't change
>>> the fact that a tibble reacts different from a data.frame. So tibbles
>>> do not inherit correctly from the class data.frame, and it can thus
>>> be argued that it's against OOP paradigms to pretend tibbles inherit
>>> from the class data.frame.
>>
>> I have yet to see an OOP system in which a subclass cannot override
>> the methods of its superclass. Not only is this in line with OOP
>> paradigms, it is actually one of the essential OOP features.
>>
>> To be more constructive, if you have a function that only works with
>> data frame inputs, then it is good practice to check that the supplied
>> input is indeed a data frame. This is independent of tibbles.
>
> It is not. I check input for being a data frame, but tibbles pass that test. That's the essence of the problem.
>
>> In practice it seems to me that an easy fix is to just call
>> as.data.frame on the input. This should either convert it to a data
>> frame, or throw an error.
>
> Sure, but I still need to rewrite the package.
>
> Görn
>
>> For tibbles it
>> drops the tbl* classes.
>>
>> Gabor
>>
>>> Defensive coding techniques would check if it's a tibble and return
>>> an error saying a data.frame is expected. Unless tibbles inherit
>>> correctly from data.frame.
>>>
>>> I have nothing against tibbles. But calling them "data.frame" raises
>>> expectations that can't be fulfilled.
>>
>> [...]
>>
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