[Rd] transform

[Gabor Grothendieck]

It could be enhanced to handle data frame argos.  Unnamed args are
currently just ignored so adding such would be backwards compatible.
Any interest in this?

On Tue, Aug 27, 2024 at 5:55 AM peter dalgaard <pdalgd using gmail.com> wrote:
>
> Yes. A quirk, rather than a bug I'd say. One issue is that the internal logic of transform() relies on
>
>     e <- eval(substitute(list(...)), `_data`, parent.frame())
>     tags <- names(e)
>
> so untagged entries in ... will not be included. The other part is a direct consequence of a quirk in data.frame:
>
> > data.frame(head(airquality), y=data.frame(x=rnorm(6)))
>   Ozone Solar.R Wind Temp Month Day          x
> 1    41     190  7.4   67     5   1  0.3075402
> 2    36     118  8.0   72     5   2  0.7765265
> 3    12     149 12.6   74     5   3  0.3909341
> 4    18     313 11.5   62     5   4  0.4733170
> 5    NA      NA 14.3   56     5   5 -0.6947709
> 6    28      NA 14.9   66     5   6  0.1126040
>
> whereas (the wisdom of this escapes me)
>
> > data.frame(head(airquality), y=data.frame(x=rnorm(6),z=rnorm(6)))
>   Ozone Solar.R Wind Temp Month Day        y.x         y.z
> 1    41     190  7.4   67     5   1 -0.9250228  0.46483406
> 2    36     118  8.0   72     5   2 -0.5035793  0.28822668
> ...
>
> On the whole, I think that transform was never designed (nor documented) to take data frame arguments, so caveat emptor.
>
> - Peter
>
>
> > On 24 Aug 2024, at 16:41 , Gabor Grothendieck <ggrothendieck using gmail.com> wrote:
> >
> > One oddity in transform that I recently noticed.  It seems that to include
> > a one-column data frame in the arguments one must name it even though the
> > name is ignored.  If the data frame has more than one column then it must
> > also be named but in that case it is not ignored and the names are made up of
> > a combination of that name and the data frame's names.  I would have thought
> > that if we did not want a combination of names we would just not name the
> > argument.
> >
> >  # ignores second argument returning BOD unchanged
> >  transform(BOD, data.frame(y = 1:6)) |> names()
> >  ## [1] "Time"   "demand"
> >
> >  # ignores second argument returning BOD unchanged
> >  transform(BOD, data.frame(y = 1:6, z = 6:1)) |> names()
> >  ## [1] "Time"   "demand"
> >
> >  # with one column in data frame it adds the column and names it y ignoring x
> >  transform(BOD, x = data.frame(y = 1:6)) |> names()
> >  ## [1] "Time"   "demand" "y"
> >
> >  # with multiple columns in data frame it uses x.y and x.z as names
> >  transform(BOD, data.frame(y = 1:6, z = 6:1)) |> names()
> >  ## [1] "Time"   "demand" "x.y"    "x.z"
> >
> >
> > --
> > Statistics & Software Consulting
> > GKX Group, GKX Associates Inc.
> > tel: 1-877-GKX-GROUP
> > email: ggrothendieck at gmail.com
> >
> > ______________________________________________
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>
> --
> Peter Dalgaard, Professor,
> Center for Statistics, Copenhagen Business School
> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
> Phone: (+45)38153501
> Office: A 4.23
> Email: pd.mes using cbs.dk  Priv: PDalgd using gmail.com
>


-- 
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com