[Rd] Duplicate column names created by base::merge() when by.x has the same name as a column in y

frederik at ofb.net frederik at ofb.net
Tue Feb 20 22:23:51 CET 2018


Hi Scott,

I think that's a good idea and I tried your patch on my copy of the
repository. But it looks to me like the recent patch is identical to
the previous one, can you confirm this?

Frederick

On Mon, Feb 19, 2018 at 07:19:32AM +1100, Scott Ritchie wrote:
> Thanks Gabriel,
> 
> I think your suggested approach is 100% backwards compatible
> 
> Currently in the case of duplicate column names only the first can be
> indexed by its name. This will always be the column appearing in by.x,
> meaning the column in y with the same name cannot be accessed. Appending
> ".y" (suffixes[2L]) to this column means it can now be accessed, while
> keeping the current behaviour of making the key columns always accessible
> by using the names provided to by.x.
> 
> I've attached a new patch that has this behaviour.
> 
> Best,
> 
> Scott
> 
> On 19 February 2018 at 05:08, Gabriel Becker <gmbecker at ucdavis.edu> wrote:
> 
> > It seems like there is a way that is backwards compatible-ish in the sense
> > mentioned and still has the (arguably, but a good argument I think) better
> > behavior:
> >
> > if by.x is 'name', (AND by.y is not also 'name'), then x's 'name' column
> > is called name and y's 'name' column (not used int he merge) is changed to
> > name.y.
> >
> > Now of course this would still change output, but it would change it to
> > something I think would be better, while retaining the 'merge columns
> > retain their exact names' mechanic as documented.
> >
> > ~G
> >
> > On Sat, Feb 17, 2018 at 6:50 PM, Scott Ritchie <s.ritchie73 at gmail.com>
> > wrote:
> >
> >> Thanks Duncan and Frederick,
> >>
> >> I suspected as much - there doesn't appear to be any reason why conflicts
> >> between by.x and names(y) shouldn't and cannot be checked, but I can see
> >> how this might be more trouble than its worth given it potentially may
> >> break downstream packages (i.e. any cases where this occurs but they
> >> expect
> >> the name of the key column(s) to remain the same).
> >>
> >> Best,
> >>
> >> Scott
> >>
> >> On 18 February 2018 at 11:48, Duncan Murdoch <murdoch.duncan at gmail.com>
> >> wrote:
> >>
> >> > On 17/02/2018 6:36 PM, frederik at ofb.net wrote:
> >> >
> >> >> Hi Scott,
> >> >>
> >> >> Thanks for the patch. I'm not really involved in R development; it
> >> >> will be up to someone in the R core team to apply it. I would hazard
> >> >> to say that even if correct (I haven't checked), it will not be
> >> >> applied because the change might break existing code. For example it
> >> >> seems like reasonable code might easily assume that a column with the
> >> >> same name as "by.x" exists in the output of 'merge'. That's just my
> >> >> best guess... I don't participate on here often.
> >> >>
> >> >
> >> >
> >> > I think you're right.  If I were still a member of R Core, I would want
> >> to
> >> > test this against all packages on CRAN and Bioconductor, and since that
> >> > test takes a couple of days to run on my laptop, I'd probably never get
> >> > around to it.
> >> >
> >> > There are lots of cases where "I would have done that differently", but
> >> > most of them are far too much trouble to change now that R is more than
> >> 20
> >> > years old.  And in many cases it will turn out that the way R does it
> >> > actually does make more sense than the way I would have done it.
> >> >
> >> > Duncan Murdoch
> >> >
> >> >
> >> >
> >> >> Cheers,
> >> >>
> >> >> Frederick
> >> >>
> >> >> On Sat, Feb 17, 2018 at 04:42:21PM +1100, Scott Ritchie wrote:
> >> >>
> >> >>> The attached patch.diff will make merge.data.frame() append the
> >> suffixes
> >> >>> to
> >> >>> columns with common names between by.x and names(y).
> >> >>>
> >> >>> Best,
> >> >>>
> >> >>> Scott Ritchie
> >> >>>
> >> >>> On 17 February 2018 at 11:15, Scott Ritchie <s.ritchie73 at gmail.com>
> >> >>> wrote:
> >> >>>
> >> >>> Hi Frederick,
> >> >>>>
> >> >>>> I would expect that any duplicate names in the resulting data.frame
> >> >>>> would
> >> >>>> have the suffixes appended to them, regardless of whether or not they
> >> >>>> are
> >> >>>> used as the join key. So in my example I would expect "names.x" and
> >> >>>> "names.y" to indicate their source data.frame.
> >> >>>>
> >> >>>> While careful reading of the documentation reveals this is not the
> >> >>>> case, I
> >> >>>> would argue the intent of the suffixes functionality should equally
> >> be
> >> >>>> applied to this type of case.
> >> >>>>
> >> >>>> If you agree this would be useful, I'm happy to write a patch for
> >> >>>> merge.data.frame that will add suffixes in this case - I intend to do
> >> >>>> the
> >> >>>> same for merge.data.table in the data.table package where I initially
> >> >>>> encountered the edge case.
> >> >>>>
> >> >>>> Best,
> >> >>>>
> >> >>>> Scott
> >> >>>>
> >> >>>> On 17 February 2018 at 03:53, <frederik at ofb.net> wrote:
> >> >>>>
> >> >>>> Hi Scott,
> >> >>>>>
> >> >>>>> It seems like reasonable behavior to me. What result would you
> >> expect?
> >> >>>>> That the second "name" should be called "name.y"?
> >> >>>>>
> >> >>>>> The "merge" documentation says:
> >> >>>>>
> >> >>>>>      If the columns in the data frames not used in merging have any
> >> >>>>>      common names, these have ‘suffixes’ (‘".x"’ and ‘".y"’ by
> >> default)
> >> >>>>>      appended to try to make the names of the result unique.
> >> >>>>>
> >> >>>>> Since the first "name" column was used in merging, leaving both
> >> >>>>> without a suffix seems consistent with the documentation...
> >> >>>>>
> >> >>>>> Frederick
> >> >>>>>
> >> >>>>> On Fri, Feb 16, 2018 at 09:08:29AM +1100, Scott Ritchie wrote:
> >> >>>>>
> >> >>>>>> Hi,
> >> >>>>>>
> >> >>>>>> I was unable to find a bug report for this with a cursory search,
> >> but
> >> >>>>>>
> >> >>>>> would
> >> >>>>>
> >> >>>>>> like clarification if this is intended or unavoidable behaviour:
> >> >>>>>>
> >> >>>>>> ```{r}
> >> >>>>>> # Create example data.frames
> >> >>>>>> parents <- data.frame(name=c("Sarah", "Max", "Qin", "Lex"),
> >> >>>>>>                        sex=c("F", "M", "F", "M"),
> >> >>>>>>                        age=c(41, 43, 36, 51))
> >> >>>>>> children <- data.frame(parent=c("Sarah", "Max", "Qin"),
> >> >>>>>>                         name=c("Oliver", "Sebastian", "Kai-lee"),
> >> >>>>>>                         sex=c("M", "M", "F"),
> >> >>>>>>                         age=c(5,8,7))
> >> >>>>>>
> >> >>>>>> # Merge() creates a duplicated "name" column:
> >> >>>>>> merge(parents, children, by.x = "name", by.y = "parent")
> >> >>>>>> ```
> >> >>>>>>
> >> >>>>>> Output:
> >> >>>>>> ```
> >> >>>>>>     name sex.x age.x      name sex.y age.y
> >> >>>>>> 1   Max     M    43 Sebastian     M     8
> >> >>>>>> 2   Qin     F    36   Kai-lee     F     7
> >> >>>>>> 3 Sarah     F    41    Oliver     M     5
> >> >>>>>> Warning message:
> >> >>>>>> In merge.data.frame(parents, children, by.x = "name", by.y =
> >> >>>>>> "parent") :
> >> >>>>>>    column name ‘name’ is duplicated in the result
> >> >>>>>> ```
> >> >>>>>>
> >> >>>>>> Kind Regards,
> >> >>>>>>
> >> >>>>>> Scott Ritchie
> >> >>>>>>
> >> >>>>>>        [[alternative HTML version deleted]]
> >> >>>>>>
> >> >>>>>> ______________________________________________
> >> >>>>>> R-devel at r-project.org mailing list
> >> >>>>>> https://stat.ethz.ch/mailman/listinfo/r-devel
> >> >>>>>>
> >> >>>>>>
> >> >>>>>
> >> >>>>
> >> >>>>
> >> >> Index: src/library/base/R/merge.R
> >> >>> ===================================================================
> >> >>> --- src/library/base/R/merge.R  (revision 74264)
> >> >>> +++ src/library/base/R/merge.R  (working copy)
> >> >>> @@ -157,6 +157,15 @@
> >> >>>           }
> >> >>>             if(has.common.nms) names(y) <- nm.y
> >> >>> +        ## If by.x %in% names(y) then duplicate column names still
> >> >>> arise,
> >> >>> +        ## apply suffixes to these
> >> >>> +        dupe.keyx <- intersect(nm.by, names(y))
> >> >>> +        if(length(dupe.keyx)) {
> >> >>> +          if(nzchar(suffixes[1L]))
> >> >>> +            names(x)[match(dupe.keyx, names(x), 0L)] <-
> >> >>> paste(dupe.keyx, suffixes[1L], sep="")
> >> >>> +          if(nzchar(suffixes[2L]))
> >> >>> +            names(y)[match(dupe.keyx, names(y), 0L)] <-
> >> >>> paste(dupe.keyx, suffixes[2L], sep="")
> >> >>> +        }
> >> >>>           nm <- c(names(x), names(y))
> >> >>>           if(any(d <- duplicated(nm)))
> >> >>>               if(sum(d) > 1L)
> >> >>>
> >> >>
> >> >> ______________________________________________
> >> >> R-devel at r-project.org mailing list
> >> >> https://stat.ethz.ch/mailman/listinfo/r-devel
> >> >>
> >> >>
> >> >
> >>
> >>         [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-devel at r-project.org mailing list
> >> https://stat.ethz.ch/mailman/listinfo/r-devel
> >>
> >
> >
> >
> > --
> > Gabriel Becker, PhD
> > Scientist (Bioinformatics)
> > Genentech Research
> >

> Index: src/library/base/R/merge.R
> ===================================================================
> --- src/library/base/R/merge.R	(revision 74264)
> +++ src/library/base/R/merge.R	(working copy)
> @@ -157,6 +157,15 @@
>          }
>  
>          if(has.common.nms) names(y) <- nm.y
> +        ## If by.x %in% names(y) then duplicate column names still arise,
> +        ## apply suffixes to these
> +        dupe.keyx <- intersect(nm.by, names(y))
> +        if(length(dupe.keyx)) {
> +          if(nzchar(suffixes[1L]))
> +            names(x)[match(dupe.keyx, names(x), 0L)] <- paste(dupe.keyx, suffixes[1L], sep="")
> +          if(nzchar(suffixes[2L]))
> +            names(y)[match(dupe.keyx, names(y), 0L)] <- paste(dupe.keyx, suffixes[2L], sep="")
> +        }
>          nm <- c(names(x), names(y))
>          if(any(d <- duplicated(nm)))
>              if(sum(d) > 1L)

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