[datatable-help] Can crash R with a data.table query

Matthew Dowle mdowle at mdowle.plus.com
Sun Jul 18 13:24:32 CEST 2010


So would I probably.

Could add 'Consider options(datatable.warnjempty=FALSE).' to the warning
text. That way at least users become aware of the potentially useful
feature. If it was FALSE to start with they might never discover it.


On Sun, 2010-07-18 at 04:02 -0700, Short, Tom wrote:
> I'd probably turn this option off(). I think I'd have enough empty
> groups for the warning to be irritating.
> 
> 
>  
> 
> > -----Original Message-----
> > From: Matthew Dowle [mailto:mdowle at mdowle.plus.com] 
> > Sent: Sunday, July 18, 2010 06:52
> > To: Harish
> > Cc: Short, Tom; datatable-help at lists.r-forge.r-project.org
> > Subject: RE: [datatable-help] Can crash R with a data.table query
> > 
> > Another simple approach might be to have a global option 
> > 'datatable-warnjempty', by default TRUE. It would issue a 
> > warning saying "j evaluated to empty data.table for 2 out of 
> > 634 groups".  That would give the analyst the feedback that 
> > Harish was looking for so they can then check into it and add 
> > the nonull() wrapper if that is appropriate, or fix up the 
> > data in other ways.
> > 
> > The warning text could be calculated and output in the 
> > verbose=TRUE mode too. It won't add any compute time really 
> > to store a counter inside dogroups.c each time j evaluates to 0 rows.
> > 
> > It can be turned off on a per-query basis with 
> > suppressWarnings() or globally in .Rprofile with 
> > options(datatable-warnjempty=FALSE).
> > For side-effect-only 'by' such as plotting, the j would be 
> > NULL for all groups and no warning would be issued in that case.
> > 
> > Thinking about it, I might find it quite useful too.
> > 
> > Tom and Harish - does that sound ok?
> > 
> > Matthew
> > 
> > 
> > On Tue, 2010-07-13 at 20:35 -0700, Harish wrote:
> > > I'm sold.  The nonull function is easy enough to create and 
> > is acceptable.
> > > 
> > > I just wanted to pitch my thoughts out and get some perspectives.
> > > 
> > > Thanks,
> > > Harish
> > > 
> > > 
> > > --- On Tue, 7/13/10, Short, Tom <TShort at epri.com> wrote:
> > > 
> > > > From: Short, Tom <TShort at epri.com>
> > > > Subject: RE: [datatable-help] Can crash R with a data.table query
> > > > To: mdowle at mdowle.plus.com, "Harish" <harishv_99 at yahoo.com>
> > > > Cc: datatable-help at lists.r-forge.r-project.org
> > > > Date: Tuesday, July 13, 2010, 5:07 AM Matthew/Harish, I like the 
> > > > existing functionality (no NA's). I'd also prefer 
> > Matthew's nonull 
> > > > function idea to the nonullj option. The number of options to 
> > > > [.data.table is high, and I don't think this warrants another.
> > > > 
> > > > - Tom
> > > >  
> > > > 
> > > > > -----Original Message-----
> > > > > From: datatable-help-bounces at lists.r-forge.r-project.org
> > > > 
> > > > > [mailto:datatable-help-bounces at lists.r-forge.r-project.org]
> > > > 
> > > > > On Behalf Of Matthew Dowle
> > > > > Sent: Monday, July 12, 2010 20:11
> > > > > To: Harish
> > > > > Cc: datatable-help at lists.r-forge.r-project.org
> > > > > Subject: Re: [datatable-help] Can crash R with a
> > > > data.table query
> > > > > 
> > > > > Harish,
> > > > > 
> > > > > You're right about the example, thanks. It was a typo.
> > > > '<' 
> > > > > should have been '>' :
> > > > > 
> > > > >    DT[, date[date-min(date)>7], by=var1]
> > > > > 
> > > > > That may not return data for all groups.
> > > > > 
> > > > > Basically, the way I think about 'by', and the way I
> > > > explain
> > > > > it sometimes is that it does this general form :
> > > > > 
> > > > > dfsplit = split(iris,iris$Species)
> > > > >
> > > > do.call("rbind",lapply(dfsplit,function(SUBSET)with(SUBSET,dat
> > > > a.frame(Species[1],mean(Sepal.Length)))))
> > > > > 
> > > > > Thats not a good example because every item of the
> > > > result of
> > > > > lapply will have data.  Imagine an example where
> > > > not all
> > > > > groups return data though.
> > > > > Then the do.call("rbind",...) will collapse it all
> > > > together
> > > > > and the no-data groups will be gone.  I'm not
> > > > saying at all
> > > > > that data.table 'by'
> > > > > should be the same, but just that it is the same at
> > > > the
> > > > > moment and how I think about it.
> > > > > 
> > > > > How do by(), doBy() and plyr treat this ?
> > > > > 
> > > > > The issue basically is that the j in your example :
> > > > > 
> > > > >    DT[ , .SD[ A==25, C ] + .SD[ A==85, C ],
> > > > by=B ]
> > > > > 
> > > > > can return NULL, or more specifically a data.table
> > > > with no rows.
> > > > > That may be a deliberate thing the programmer wants to
> > > > do,
> > > > > and a nice feature.
> > > > > 
> > > > > I'm not really comfortable with the sub-queries inside
> > > > the j. 
> > > > > We would usually join in the i, or match in the j.
> > > > > 
> > > > > Another way might be to create a function nonull which
> > > > 
> > > > > replaces 0 row data.tables with a single row of NAs.
> > > > That
> > > > > could be added to data.table.
> > > > > 
> > > > > DT[ , nonull(.SD[A==25,C] + .SD[A==85,C]), by=B ]
> > > > > 
> > > > > but I realise the discussion is about defaults so this
> > > > post
> > > > > was to add to the discussion not at all to close it.
> > > > My
> > > > > preferred option currently is to add an option
> > > > 'nonullj' 
> > > > > which does that, default FALSE. You would prefer TRUE
> > > > by
> > > > > default I think.
> > > > > 
> > > > > I suspect Tom maybe able to see the wood through these
> > > > trees
> > > > > hopefully.
> > > > > 
> > > > > Matthew
> > > > > 
> > > > > 
> > > > > 
> > > > > 
> > > > > On Sun, 2010-07-11 at 02:04 -0700, Harish wrote:
> > > > > > I was thinking more about this and I am unsure
> > > > how the
> > > > > use-case you mentioned will break if NAs are returned
> > > > when
> > > > > length(j)==0.
> > > > > >    DT[, date[date-min(date)<7],
> > > > by=var1]
> > > > > > 
> > > > > > In the above code, you will at least have one
> > > > date selected
> > > > > for each var1 since min(date) - min(date) is always
> > > > < 7.  So
> > > > > when does length(j) equal 0 for the proposed code
> > > > returning
> > > > > NA to even get triggered?
> > > > > > 
> > > > > > My point was that we should have all the "by"
> > > > variable
> > > > > values represented in the output.  So in your
> > > > example above,
> > > > > if var1 was c("A","B","C"), then the result must have
> > > > at
> > > > > least 3 rows with at least 1 row for each var1. 
> > > > If no values
> > > > > are selected for whatever reason for var1=="B", then
> > > > NA is returned.
> > > > > > 
> > > > > > To take this a little further:
> > > > > >    DT[ blah1, blah2,
> > > > by=list(var1,var2)] Now suppose var1 and var2
> > > > > > were:
> > > > > >    var1   var2
> > > > > >    A      x
> > > > > >    A      x
> > > > > >    A      y
> > > > > >    B      x
> > > > > > 
> > > > > > In the above case, the output will have three
> > > > rows at least:
> > > > > >    var1   var2
> > > > > >    A      x
> > > > > >    A      y
> > > > > >    B      x
> > > > > > and it need not have (B,y) since that does not
> > > > even exist
> > > > > in the data.
> > > > > > 
> > > > > > If I did not select any values for (B,x) because
> > > > of a row
> > > > > filter, I am proposing that I get an NA for all values
> > > > that
> > > > > cannot be computed in that row.
> > > > > > 
> > > > > > I suppose I am not understanding how this is
> > > > implemented
> > > > > because I see the example that you mentioned to be
> > > > very
> > > > > different from what I am talking about.
> > > > > > 
> > > > > > Thanks for being so patient.
> > > > > > 
> > > > > > 
> > > > > > Regards,
> > > > > > Harish
> > > > > > 
> > > > > > 
> > > > > > --- On Fri, 7/9/10, Harish <harishv_99 at yahoo.com>
> > > > wrote:
> > > > > > 
> > > > > > > From: Harish <harishv_99 at yahoo.com>
> > > > > > > Subject: Re: [datatable-help] Can crash R
> > > > with a data.table query
> > > > > > > To: mdowle at mdowle.plus.com
> > > > > > > Cc: datatable-help at lists.r-forge.r-project.org
> > > > > > > Date: Friday, July 9, 2010, 10:01 PM Thanks
> > > > for the fix.  
> > > > > I did use
> > > > > > > a workaround to perform the same
> > > > computation; thanks.
> > > > > > > 
> > > > > > > I think that if data.tables returned NA's
> > > > for all cases
> > > > > -- even when
> > > > > > > length(j)==0, we will easily be able to
> > > > accomplish all our goals:
> > > > > > >    1) Conveniently remove rows
> > > > with NA's in some cases -- Use
> > > > > > > complete.cases(DT)
> > > > > > >    2) Be informed about missing
> > > > data -- NAs are propagated during
> > > > > > > computations and are easy to detect.
> > > > > > > 
> > > > > > > Also, a parameter can be used in case Goal
> > > > #1 (above) is not met
> > > > > > > with complete.cases() efficiently.
> > > > > > > 
> > > > > > > I think the behavior of not returning NA's
> > > > when length(j)
> > > > > == 0 might
> > > > > > > cause missing data to be overlooked.
> > > > > > > 
> > > > > > > In my opinion, the default behavior -- in
> > > > case a
> > > > > parameter is used
> > > > > > > -- should be the "safe" scenario where the
> > > > fact that data are
> > > > > > > missing is mentioned (just like na.rm=FALSE
> > > > by default
> > > > > for a lot of
> > > > > > > the functions).  This prevents the
> > > > analyst from unknowingly
> > > > > > > proceeding with subsets of data or
> > > > inaccurate data.  Such errors
> > > > > > > will be hard to find with large and complex
> > > > data sets.  Return NA
> > > > > > > will always ensure that the NA is propagated
> > > > -- therefore
> > > > > making it
> > > > > > > easier to catch the issue after a lot of
> > > > computation.
> > > > > > > 
> > > > > > > Would love to hear other perspectives.
> > > > > > > 
> > > > > > > 
> > > > > > > Regards,
> > > > > > > Harish
> > > > > > > 
> > > > > > > 
> > > > > > > --- On Thu, 7/8/10, Matthew Dowle <mdowle at mdowle.plus.com>
> > > > > > > wrote:
> > > > > > > 
> > > > > > > > From: Matthew Dowle <mdowle at mdowle.plus.com>
> > > > > > > > Subject: RE: [datatable-help] Can crash
> > > > R with a
> > > > > > > data.table query
> > > > > > > > To: "Harish" <harishv_99 at yahoo.com>
> > > > > > > > Cc: datatable-help at lists.r-forge.r-project.org
> > > > > > > > Date: Thursday, July 8, 2010, 8:35 PM
> > > > > > > > 
> > > > > > > > Crash bug fixed (#983 reported by
> > > > Harish, thanks).
> > > > > > > Tests
> > > > > > > > 171 and 172
> > > > > > > > added.
> > > > > > > > 
> > > > > > > > If one or more columns of the j
> > > > evaluate to
> > > > > > > length>0,
> > > > > > > > then any zero
> > > > > > > > length columns are replaced with an NA
> > > > vector with
> > > > > > > length
> > > > > > > > the longest
> > > > > > > > column of the j.  Thats pretty
> > > > clear.
> > > > > > > > 
> > > > > > > > If all columns in the j have zero
> > > > length however, then
> > > > > > > it
> > > > > > > > is not
> > > > > > > > replaced with a single NA row, at the
> > > > moment at least
> > > > > > > > unfortunately. I couldn't get that to
> > > > work because putting NAs
> > > > > > > > there
> > > > > > > stop
> > > > > > > > other nice
> > > > > > > > features working, which I know several
> > > > users depend on
> > > > > > > for
> > > > > > > > example :
> > > > > > > > 
> > > > > > > >     DT[,
> > > > date[date-min(date)<7],
> > > > > > > > by=var1]
> > > > > > > > 
> > > > > > > > Happy to discuss further and come up
> > > > with some
> > > > > > > solution.
> > > > > > > > Maybe we need a
> > > > > > > > new parameter. How did you get on
> > > > Harish with the alternatives
> > > > > > > > using a join rather than by?
> > > > > > > > 
> > > > > > > > Here are the current results :
> > > > > > > > 
> > > > > > > > > DT
> > > > > > > >       A
> > > > B   C
> > > > > > > > [1,] 25 a   2
> > > > > > > > [2,] 85 a  65
> > > > > > > > [3,] 25 b   9
> > > > > > > > [4,] 25 c  82
> > > > > > > > [5,] 85 c 823
> > > > > > > > 
> > > > > > > > > DT[ , data.table( A, C )[ A==25, C
> > > > ] +
> > > > > > > data.table( A,
> > > > > > > > C )[ A==85, C ],
> > > > > > > > by=B ]
> > > > > > > >      B  V1
> > > > > > > > [1,] a  67
> > > > > > > > [2,] c 905
> > > > > > > > 
> > > > > > > > > DT[ , list(3,data.table( A, C )[
> > > > A==25, C ] +
> > > > > > > > data.table( A,
> > > > > > > > C )[ A==85, C ]), by=B ]
> > > > > > > >      B V1  V2
> > > > > > > > [1,] a  3  67
> > > > > > > > [2,] b  3  NA
> > > > > > > > [3,] c  3 905
> > > > > > > > 
> > > > > > > > Matthew
> > > > > > > > 
> > > > > > > > 
> > > > > > > > On Thu, 2010-07-01 at 09:21 -0700,
> > > > Harish wrote:
> > > > > > > > > Tom and Matthew -- Thanks for
> > > > confirming the
> > > > > > > issue.
> > > > > > > > > 
> > > > > > > > > I had to pull out each number
> > > > (i.e. A==85 and
> > > > > > > A==25)
> > > > > > > > separately because the real computation
> > > > I had to do is
> > > > > > > not
> > > > > > > > associative -- involves division,
> > > > etc.  So the other approaches
> > > > > > > > you suggested won't quite work.
> > > > > > > > > 
> > > > > > > > > I think that returning NA is quite
> > > > acceptable
> > > > > > > and
> > > > > > > > preferred; it is better than having the
> > > > row
> > > > > > > missing. 
> > > > > > > > It provides an opportunity for the
> > > > person analyzing
> > > > > > > the data
> > > > > > > > to realize that something was amiss
> > > > (i.e. A==85 was
> > > > > > > missing
> > > > > > > > for B=="b" in example).  It is
> > > > also consistent with
> > > > > reshaping the
> > > > > > > > data table by having the A's as
> > > > columns
> > > > > > > where
> > > > > > > > we would get NAs for missing
> > > > data.  Then performing
> > > > > > > the
> > > > > > > > same computation will give an NA.
> > > > > > > > > 
> > > > > > > > > Regards,
> > > > > > > > > Harish
> > > > > > > > > 
> > > > > > > > > 
> > > > > > > > > --- On Thu, 7/1/10, mdowle at mdowle.plus.com
> > > > > > > > <mdowle at mdowle.plus.com>
> > > > > > > > wrote:
> > > > > > > > > 
> > > > > > > > > > From: mdowle at mdowle.plus.com
> > > > > > > > <mdowle at mdowle.plus.com>
> > > > > > > > > > Subject: RE: [datatable-help]
> > > > Can crash R
> > > > > > > with a
> > > > > > > > data.table query
> > > > > > > > > > To: "Short, Tom" <TShort at epri.com>
> > > > > > > > > > Cc: mdowle at mdowle.plus.com,
> > > > > > > > "Harish" <harishv_99 at yahoo.com>, 
> > > > > > > > datatable-help at lists.r-forge.r-project.org
> > > > > > > > > > Date: Thursday, July 1, 2010,
> > > > 5:43 AM
> > > > > > > > > > 
> > > > > > > > > > I see that too now. It'll be
> > > > inside
> > > > > > > dogroups.c.
> > > > > > > > Harish -
> > > > > > > > > > can you add as
> > > > > > > > > > bug please to tracker, good
> > > > spot.  What
> > > > > > > > should the
> > > > > > > > > > result be though?  No
> > > > > > > > > > rows, for group "b", or
> > > > NA?  The way the j
> > > > > > > > is
> > > > > > > > > > constructed it can't be 9.
> > > > > > > > > > 
> > > > > > > > > > Other ways to do that :
> > > > > > > > > > 
> > > > > > > > > >
> > > > DT[A%in%c(25,85),sum(C),by=B]  # ok
> > > > > > > > > >      B
> > > > V1
> > > > > > > > > > [1,] a  67
> > > > > > > > > > [2,] b   9
> > > > > > > > > > [3,] c 905
> > > > > > > > > > 
> > > > > > > > > >
> > > > DT[,.SD[A%in%c(85,25),sum(C)],by=B]  # ok
> > > > > > > > > >      B
> > > > V1
> > > > > > > > > > [1,] a  67
> > > > > > > > > > [2,] b   9
> > > > > > > > > > [3,] c 905
> > > > > > > > > > 
> > > > > > > > > >
> > > > DT[,.SD[A==25,C]+.SD[A==85,C],by=B] # crash
> > > > > > > too
> > > > > > > > > > 
> > > > > > > > > > > setkey(DT,A)
> > > > > > > > > > >
> > > > > > > DT[J(c(25,85)),sum(C),by=B,mult="all"]
> > > > > > > > # ok,
> > > > > > > > > > likely fastest
> > > > > > > > > >      B
> > > > V1
> > > > > > > > > > [1,] a  67
> > > > > > > > > > [2,] b   9
> > > > > > > > > > [3,] c 905
> > > > > > > > > > 
> > > > > > > > > > 
> > > > > > > > > > 
> > > > > > > > > > > That crashes R for me,
> > > > too, somewhere
> > > > > > > in
> > > > > > > > > > data.table.dll.
> > > > > > > > > > >
> > > > > > > > > > > - Tom
> > > > > > > > > > >
> > > > > > > > > > >
> > > > > > > > > > >
> > > > > > > > > > >
> > > > > > > > > > >> -----Original
> > > > Message-----
> > > > > > > > > > >> From: 
> > > > > > > > > > >> datatable-help-bounces at lists.r-forge.r-project.org
> > > > > > > > > > >> 
> > > > > [mailto:datatable-help-bounces at lists.r-forge.r-project.org]
> > > > > > > > > > >> On Behalf Of mdowle at mdowle.plus.com
> > > > > > > > > > >> Sent: Thursday, July
> > > > 01, 2010
> > > > > > > 05:33
> > > > > > > > > > >> To: Harish
> > > > > > > > > > >> Cc: datatable-help at lists.r-forge.r-project.org
> > > > > > > > > > >> Subject: Re:
> > > > [datatable-help] Can
> > > > > > > crash
> > > > > > > > R with a
> > > > > > > > > > data.table query
> > > > > > > > > > >>
> > > > > > > > > > >> What you mean by
> > > > 'crash'? R simply
> > > > > > > stops
> > > > > > > > or theres
> > > > > > > > > > a message?
> > > > > > > > > > >> Try the clean
> > > > install of latest
> > > > > > > 1.5, as
> > > > > > > > per recent
> > > > > > > > > > reply on
> > > > > > > > > > >> other thread, and
> > > > can go from
> > > > > > > there...
> > > > > > > > > > >>
> > > > > > > > > > >> > Hi,
> > > > > > > > > > >> >
> > > > > > > > > > >> > I am crashing R
> > > > with the
> > > > > > > following
> > > > > > > > code (and
> > > > > > > > > > it might have
> > > > > > > > > > >> something
> > > > > > > > > > >> > to do with data
> > > > tables as
> > > > > > > well):
> > > > > > > > > > >> >
> > > > > > > > > > >> > =========
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > > >> > DT <-
> > > > structure(list(A =
> > > > > > > c(25L,
> > > > > > > > 85L, 25L,
> > > > > > > > > > 25L, 85L), B =
> > > > > > > > > > >> > structure(c(1L,
> > > > 1L, 2L, 3L,
> > > > > > > 3L),
> > > > > > > > .Label =
> > > > > > > > > > c("a", "b", "c"),
> > > > > > > > > > >> class = "factor"),
> > > > > > > > > > >> > 
> > > >    C = c(2L,
> > > > > > > > 65L, 9L,
> > > > > > > > > > 82L, 823L)), .Names = c("A",
> > > > "B",
> > > > > > > > > > >> "C"), class =
> > > > > > > > > > >> >
> > > > c("data.table",
> > > > > > > "data.frame"),
> > > > > > > > row.names =
> > > > > > > > > > c(NA, -5L))
> > > > > > > > > > >> >
> > > > > > > > > > >> > DT[ ,
> > > > data.table( A, C )[
> > > > > > > A==25, C
> > > > > > > > ] +
> > > > > > > > > > data.table( A, C )[
> > > > > > > > > > >> A==85, C ],
> > > > > > > > > > >> > by=B ]
> > > > > > > > > > >> >
> > > > > > > > > > >> > =========
> > > > > > > > > > >> >
> > > > > > > > > > >> > For every B, I
> > > > am trying to
> > > > > > > sum the
> > > > > > > > C's where
> > > > > > > > > > A is 25 and 85.
> > > > > > > > > > >> >
> > > > > > > > > > >> > The crash has
> > > > something to do
> > > > > > > with
> > > > > > > > my row
> > > > > > > > > > selection
> > > > > > > > > > >> criteria. 
> > > > First,
> > > > > > > > > > >> > note that for
> > > > B=="b", I don't
> > > > > > > have
> > > > > > > > > > A==85.  It looks like a
> > > > > > > > > > >> numeric(0)
> > > > > > > > > > >> > is being
> > > > returned in this
> > > > > > > case.
> > > > > > > > > > >> >
> > > > > > > > > > >> > In order to
> > > > avoid the crash, I
> > > > > > > had
> > > > > > > > to do
> > > > > > > > > > something like:
> > > > > > > > > > >> >    if
> > > > ( ! identical( DT[
> > > > > > > > blah ],
> > > > > > > > > > numeric( 0 ) )
> > > > > > > > > > >> >
> > > > > > > > > > >> > It isn't just
> > > > that R is unable
> > > > > > > to
> > > > > > > > handle
> > > > > > > > > > operations on numeric(0)
> > > > > > > > > > >> > because I don't
> > > > get a crash
> > > > > > > when I
> > > > > > > > just type
> > > > > > > > > > in "numeric(0)
> > > > > > > > > > >> + 2".  So,
> > > > > > > > > > >> > my guess is
> > > > that it has
> > > > > > > something
> > > > > > > > to do with
> > > > > > > > > > data.table as well.
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > > >> > Harish
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > > >> >
> > > > > > > > > >
> > > > > > >
> > > > _______________________________________________
> > > > > > > > > > >> > datatable-help
> > > > mailing list
> > > > > > > > > > >> > datatable-help at lists.r-forge.r-project.org
> > > > > > > > > > >> >
> > > > > > > > > > >> 
> > > > > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinf
> > > > > > > > > > >> o/datatable
> > > > > > > > > > >> > -help
> > > > > > > > > > >> >
> > > > > > > > > > >>
> > > > > > > > > > >>
> > > > > > > > > > >>
> > > > > > > >
> > > > _______________________________________________
> > > > > > > > > > >> datatable-help
> > > > mailing list
> > > > > > > > > > >> datatable-help at lists.r-forge.r-project.org
> > > > > > > > > > >> 
> > > > > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinf
> > > > > > > > > > >> o/d
> > > > > > > > > > > atatable-help
> > > > > > > > > > >>
> > > > > > > > > > >
> > > > > > > > > > 
> > > > > > > > > > 
> > > > > > > > > > 
> > > > > > > > > 
> > > > > > > > > 
> > > > > > > > >       
> > > > > > > > 
> > > > > > > > 
> > > > > > > > 
> > > > > > > 
> > > > > > > 
> > > > > > >       
> > > > > > >
> > > > _______________________________________________
> > > > > > > datatable-help mailing list
> > > > > > > datatable-help at lists.r-forge.r-project.org
> > > > > > > 
> > > > > 
> > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datat
> > > > > ab
> > > > > > > le-help
> > > > > > >
> > > > > > 
> > > > > > 
> > > > > > 
> > > > > >       
> > > > > 
> > > > > 
> > > > > _______________________________________________
> > > > > datatable-help mailing list
> > > > > datatable-help at lists.r-forge.r-project.org
> > > > > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/d
> > > > atatable-help
> > > > > 
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