The issue has been fixed in commit 1054 now. Once r-forge build kicks in, be 
sure to update, especially if you're working with R-devel version. 

Arun


On Thursday, December 19, 2013 at 12:56 PM, Arunkumar Srinivasan wrote:

> Just tested this on the devel version (today's). And yes, this issue happens. 
> But I'm not sure if this is an issue with 'data.table' per-se: 
> 
> On a clean session, if you do this:
> 
> require(data.table)
> set.seed(32)
> n <- 3
> dt <- data.table(y=rnorm(n), by=round( rnorm(n), 1))
> 
> ll <- list(dt$by)
> yy <- ll[[1L]]
> address(dt$by) # [1] "0x7fad3c524a40"
> address(ll[[1L]]) # [1] "0x7fad3c524a40"
> address(yy) # [1] "0x7fad3c524a40"
> 
> 
> You see that all three are pointing to the same address. And that's why the 
> result is wrong because internally "yy" will be changed by reference during 
> "fastorder". And it is *not* supposed to point to "yy" but to have made a 
> copy.
> 
> After doing it the first time, the pointing changes back to how it's in 
> R-stable.. Not sure if this is desirable. Probably should report on R-devel.
> 
> On R-3.0.2, the same commands as above on a clean session:
> 
> require(data.table)
> set.seed(32)
> n <- 3
> dt <- data.table(y=rnorm(n), by=round( rnorm(n), 1))
> 
> ll <- list(dt$by)
> yy <- ll[[1L]]
> address(dt$by) # [1] "0x7fc35b640408"
> address(ll[[1L]]) # [1] "0x7fc35a0ec838"
> address(yy) # [1] "0x7fc35a0ec838"
> 
> 
> 
> 
> Arun
> 
> 
> On Thursday, December 19, 2013 at 9:43 AM, Arunkumar Srinivasan wrote:
> 
> > Simon, 
> > 
> > Thanks. One more towards my way :). I think we've nailed down the problem 
> > to R-devel version. I'll write again once I discuss it over with Kevin. 
> > 
> > Arun
> > 
> > 
> > On Thursday, December 19, 2013 at 9:26 AM, Simon Zehnder wrote:
> > 
> > > Hi Arun,
> > > 
> > > here the results on Mac OS X Mavericks with gcc 4.8.2
> > > 
> > > data.table 1.8.10:
> > > 
> > > > set.seed(32)
> > > > n <- 3
> > > > dt <- data.table(
> > > > 
> > > 
> > > + y=rnorm(n),
> > > + by=round( rnorm(n), 1)
> > > + )
> > > > 
> > > > dt[,
> > > + list(max=max(y, na.rm=TRUE)),
> > > + by=list(by)
> > > + ]
> > > by max
> > > 1: 0.7 0.01464054
> > > 2: 0.4 0.87328871
> > > > 
> > > > dt[,
> > > + list(max=max(y, na.rm=TRUE)),
> > > + by=list(by)
> > > + ]
> > > by max
> > > 1: 0.7 0.01464054
> > > 2: 0.4 0.87328871
> > > 
> > > data.table 1.8.11:
> > > 
> > > > set.seed(32)
> > > > n <- 3
> > > > dt <- data.table(
> > > > 
> > > 
> > > + y=rnorm(n),
> > > + by=round( rnorm(n), 1)
> > > + )
> > > > 
> > > > dt[,
> > > + list(max=max(y, na.rm=TRUE)),
> > > + by=list(by)
> > > + ]
> > > by max
> > > 1: 0.7 0.01464054
> > > 2: 0.4 0.87328871
> > > > 
> > > > dt[,
> > > + list(max=max(y, na.rm=TRUE)),
> > > + by=list(by)
> > > + ]
> > > by max
> > > 1: 0.7 0.01464054
> > > 2: 0.4 0.87328871
> > > 
> > > Best
> > > 
> > > Simon
> > > 
> > > 
> > > On 19 Dec 2013, at 09:05, Arunkumar Srinivasan <[email protected] 
> > > (mailto:[email protected])> wrote:
> > > 
> > > > Simon, sure.
> > > > 
> > > > set.seed(32)
> > > > n <- 3
> > > > dt <- data.table(
> > > > y=rnorm(n),
> > > > by=round( rnorm(n), 1)
> > > > )
> > > > 
> > > > dt[,
> > > > list(max=max(y, na.rm=TRUE)),
> > > > by=list(by)
> > > > ]
> > > > 
> > > > dt[,
> > > > list(max=max(y, na.rm=TRUE)),
> > > > by=list(by)
> > > > ]
> > > > 
> > > > 
> > > > 
> > > > Arun
> > > > 
> > > > On Thursday, December 19, 2013 at 8:49 AM, Simon Zehnder wrote:
> > > > 
> > > > > Arun,
> > > > > 
> > > > > if you could send me the reproducible code in copyable form I can as 
> > > > > well try it on Mac OS X Mavericks with gcc 4.8.
> > > > > 
> > > > > Best
> > > > > 
> > > > > Simon
> > > > > 
> > > > > On 19 Dec 2013, at 08:44, Arunkumar Srinivasan <[email protected] 
> > > > > (mailto:[email protected])> wrote:
> > > > > 
> > > > > > Aha, the issue seems to be with 'uniqlist', not sure why it gives
> > > > > > > (f__ = data.table:::uniqlist(byval, order=o__)) # 1,3
> > > > > > 
> > > > > > 1,2,3 for you and 1,3 consistently for me. I'll revert this back to 
> > > > > > `duplist` for now. Not sure how to solve this though. I've tried it 
> > > > > > so far on 3 machines:
> > > > > > 
> > > > > > 1) OS X 10.8.5 + libvm (gcc)
> > > > > > 2) OS X Mavericks + Clang
> > > > > > 3) Debian Weezy + gcc
> > > > > > 
> > > > > > All of them give consistent output. Man this is such a drag.
> > > > > > 
> > > > > > Arun
> > > > > > 
> > > > > > On Thursday, December 19, 2013 at 8:37 AM, Kevin Ushey wrote:
> > > > > > 
> > > > > > > Hi Arun,
> > > > > > > 
> > > > > > > Here's the output on my machine -- other information missing from
> > > > > > > before; it's with OSX Mavericks, with R and data.table compiled 
> > > > > > > with
> > > > > > > Apple clang.
> > > > > > > 
> > > > > > > ---
> > > > > > > 
> > > > > > > > library(data.table, 
> > > > > > > > lib="/Users/kevinushey/Library/R/3.1/library")
> > > > > > > > set.seed(32)
> > > > > > > > n <- 3
> > > > > > > > dt <- data.table(
> > > > > > > > 
> > > > > > > 
> > > > > > > + y=rnorm(n),
> > > > > > > + by=round( rnorm(n), 1)
> > > > > > > + )
> > > > > > > ## run one
> > > > > > > > byval <- list(by=dt$by)
> > > > > > > > (o__ <- data.table:::fastorder(byval)) # 2,3,1
> > > > > > > > 
> > > > > > > 
> > > > > > > [1] 2 3 1
> > > > > > > > (f__ = data.table:::uniqlist(byval, order=o__)) # 1,3
> > > > > > > 
> > > > > > > [1] 1 2 3
> > > > > > > > (len__ = data.table:::uniqlengths(f__, nrow(dt))) # 2,1
> > > > > > > 
> > > > > > > [1] 1 1 1
> > > > > > > > (firstofeachgroup = o__[f__]) # 2,1
> > > > > > > 
> > > > > > > [1] 2 3 1
> > > > > > > > (origorder = data.table:::iradixorder(firstofeachgroup)) # 2,1
> > > > > > > 
> > > > > > > [1] 3 1 2
> > > > > > > > (f__ = f__[origorder]) # 3,1
> > > > > > > 
> > > > > > > [1] 3 1 2
> > > > > > > > (len__ = len__[origorder]) # 2,1
> > > > > > > 
> > > > > > > [1] 1 1 1
> > > > > > > 
> > > > > > > ## run two
> > > > > > > > (o__ <- data.table:::fastorder(byval)) # 2,3,1
> > > > > > > 
> > > > > > > [1] 1 2 3
> > > > > > > > (f__ = data.table:::uniqlist(byval, order=o__)) # 1,3
> > > > > > > 
> > > > > > > [1] 1 3
> > > > > > > > (len__ = data.table:::uniqlengths(f__, nrow(dt))) # 2,1
> > > > > > > 
> > > > > > > [1] 2 1
> > > > > > > > (firstofeachgroup = o__[f__]) # 2,1
> > > > > > > 
> > > > > > > [1] 1 3
> > > > > > > > (origorder = data.table:::iradixorder(firstofeachgroup)) # 2,1
> > > > > > > 
> > > > > > > [1] 1 2
> > > > > > > > (f__ = f__[origorder]) # 3,1
> > > > > > > 
> > > > > > > [1] 1 3
> > > > > > > > (len__ = len__[origorder]) # 2,1
> > > > > > > 
> > > > > > > [1] 2 1
> > > > > > > 
> > > > > > > On Wed, Dec 18, 2013 at 11:22 PM, Arunkumar Srinivasan
> > > > > > > <[email protected] (mailto:[email protected])> wrote:
> > > > > > > > Not sure how to debug without being able to reproduce. Tried on 
> > > > > > > > Mac OS X
> > > > > > > > 10.8.5 and Debian GNU/Linux 7 (wheezy). I don't have access to 
> > > > > > > > a windows
> > > > > > > > machine. I consistently gives me this:
> > > > > > > > 
> > > > > > > > > dt[,
> > > > > > > > + list(max=max(y, na.rm=TRUE)),
> > > > > > > > + by=list(by)
> > > > > > > > + ]
> > > > > > > > by max
> > > > > > > > 1: 0.7 0.01464054
> > > > > > > > 2: 0.4 0.87328871
> > > > > > > > > 
> > > > > > > > > dt[,
> > > > > > > > + list(max=max(y, na.rm=TRUE)),
> > > > > > > > + by=list(by)
> > > > > > > > + ]
> > > > > > > > by max
> > > > > > > > 1: 0.7 0.01464054
> > > > > > > > 2: 0.4 0.87328871
> > > > > > > > 
> > > > > > > > Can either of you provide me with the output of these steps in 
> > > > > > > > cases where
> > > > > > > > there's an error? I've commented the output I get for each step.
> > > > > > > > 
> > > > > > > > byval <- list(by=dt$by)
> > > > > > > > o__ <- data.table:::fastorder(byval) # 2,3,1
> > > > > > > > f__ = data.table:::uniqlist(byval, order=o__) # 1,3
> > > > > > > > len__ = data.table:::uniqlengths(f__, nrow(dt)) # 2,1
> > > > > > > > firstofeachgroup = o__[f__] # 2,1
> > > > > > > > origorder = data.table:::iradixorder(firstofeachgroup) # 2,1
> > > > > > > > f__ = f__[origorder] # 3,1
> > > > > > > > len__ = len__[origorder] # 2,1
> > > > > > > > 
> > > > > > > > 
> > > > > > > > Arun
> > > > > > > > 
> > > > > > > > <...snip...>
> > > > > > 
> > > > > > _______________________________________________
> > > > > > datatable-help mailing list
> > > > > > [email protected] 
> > > > > > (mailto:[email protected])
> > > > > > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
> > > > > > 
> > > > > 
> > > > > 
> > > > 
> > > > 
> > > 
> > > 
> > > 
> > > 
> > 
> > 
> 

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