[datatable-help] sorting on floating point column

[Arunkumar Srinivasan]

Matthew, 

Precisely. That's what I was thinking as well. But was hesitant to tell as I dint know how complex it would be to implement / change it. Since the join requires tolerance, sorting could be still done in the "right" order (by disregarding tolerance during sort). 

Arun


On Tuesday, April 30, 2013 at 4:22 PM, Matthew Dowle wrote:

>  
> Maybe it doesn't actually need to sort within machine tolerance.   If it was precise, the sort would be faster, that's for sure.  But at the time,  I remember thinking that it should preserve the order of rows within a group of values within machine tolerance (e.g. 3.99999999, 4.00000001, 3.99999999 should be consider 4.0 and order of those 3 rows maintained).   But maybe sorting them to 3.99999999, 3.99999999, 4.00000001 is ok as it's just the join that should be within machine tolerance?
> Interested in how fast order(y) is, though.  Compared to data.table sorting of doubles.
> Matthew
>  
> On 30.04.2013 15:16, Arunkumar Srinivasan wrote:
> > Matthew,
> > I see. I din't think about tolerance. Although
> > dt[with(dt, order(y)), ] 
> > seems to do the task right (similar to data.frame). I'm glad that I don't have to convert to data.frame to perform the order. I am not keying by this column. Unless one needs this column for keying, I don't think a tolerance option is essential. Although, having it definitely would be only nicer.
> > Arun
> > 
> > 
> > On Tuesday, April 30, 2013 at 4:09 PM, Matthew Dowle wrote:
> > 
> > >  
> > > Hi,
> > > data.table sorts double within machine tolerance :
> > > > sqrt(.Machine$double.eps)
> > > [1] 1.490116e-08
> > > > 
> > >  
> > > i.e. numbers closer than this are considered equal.
> > >  
> > > Otherwise we wouldn't be able to do things like DT[.(3.14)].
> > >  
> > > I had a quick look, see arguments of data.table:::ordernumtol which takes "tol" but there is no option provided (yet) to change this. Do we need one?
> > >  
> > > In the examples section of one of the help pages it has an example which generates a series of numers very close together using pi. Note that your numbers are both close together, and, very close to 0.
> > >  
> > > Matthew
> > >  
> > > On 30.04.2013 14:52, Arunkumar Srinivasan wrote:
> > > > Hi there,
> > > > I just saw something strange when I was sorting a column of p-values. I checked the data.table bug tracker for words "sort" and "floating point" and there were no hits for this case. There's a bug for "integer 64" sort on a column though.
> > > > So, here's a reproducible example. I'd be glad to file a bug, if it is and be corrected if it's something I am doing wrong.
> > > > set.seed(45)
> > > > dt <- data.table(x=sample(50), y= sample(c(seq(0, 1, length.out=1000), 7000000:7000100), 50)/1e7)
> > > > head(dt)
> > > >     x            y
> > > > 1: 32 5.395395e-08
> > > > 2: 16 6.956957e-08
> > > > 3: 12 2.142142e-08
> > > > 4: 18 5.855856e-08
> > > > 5: 17 6.216216e-08
> > > > 6: 14 5.025025e-08
> > > > setkey(dt, "y") # sort by column y
> > > > head(dt, 10)
> > > >      x            y
> > > >  1: 47 1.401401e-09
> > > >  2: 12 2.142142e-08
> > > >  3: 24 1.391391e-08
> > > >  4: 43 9.809810e-09 <~~~ obviously false
> > > >  5:  1 2.932933e-08
> > > >  6: 48 2.562563e-08
> > > >  7: 49 1.891892e-08
> > > >  8: 40 2.182182e-08
> > > >  9:  9 7.307307e-09 <~~~ obviously false
> > > > 10: 45 2.482482e-08
> > > > 
> > > > Best,
> > > > Arun
> > > > 
> > > > 
> > > > 
> > > 
> > >  
> > >  
> > > 
> > > 
> > 
> > 
> 
>  
>  
> 
> 


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