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> > I have two dataframes and want to perform cbind and then write into a > file. The number of entries are more than a million in both frames. R is > taking a lot of time performing this operation. > > Is there any alternate way to perform cbind? > > x = table1[1:1000000,1:4] > y = table2[1:1000000,3:6] > > z = cbind(x,y) //hanging the machine > >

...ctor with attr(,'vmode')='boolean', i.e. we retain the information that there are no NAs. BUG FIXES o .onLoad() no longer calls installed.packages() which substantially improves startup time (thanks to Brian Ripley) P.P.S. Below are some timings in seconds at 3e6, 9e6, 27e6 and 81e6 elements from a Lenovo 410s notebook (3GB RAM, i5 m520, 2 real cores, 4 hyperthreaded cores, SSD drive, Windows7 32bit) Legend for software ram: new in-ram inplace operations receiving enough RAM to optimize for speed, not for memory ff: new on-disk operations limiting...

...ctor with attr(,'vmode')='boolean', i.e. we retain the information that there are no NAs. BUG FIXES o .onLoad() no longer calls installed.packages() which substantially improves startup time (thanks to Brian Ripley) P.P.S. Below are some timings in seconds at 3e6, 9e6, 27e6 and 81e6 elements from a Lenovo 410s notebook (3GB RAM, i5 m520, 2 real cores, 4 hyperthreaded cores, SSD drive, Windows7 32bit) Legend for software ram: new in-ram inplace operations receiving enough RAM to optimize for speed, not for memory ff: new on-disk operations limiting...

...) , lower = c( 1000, 0 ) , upper = c( 3000, 8.0063 ) ) a2 <- as.vector( coef( myfit2 )[ "a" ] ) b2 <- ( 1000 - exp( as.vector( coef( myfit2 )[ "log1ab" ] ) ) ) / a brks <- c( 500, 1e6, 2e6, 3e6, 4e6 ) ggplot( objdtass2, aes( x=a, y=b, z = x, fill=x ) ) + geom_tile() + geom_contour( breaks = brks ) + geom_point( x=a2, y=b2, colour="red" ) + geom_point( x=objdtass2min$a , y=objdtass2min$b , colour="green" ) + scale_f...

...Verdana=22=3E4=2E Jaeger LeCoutre=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E5=2E Longines=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E6=2E Mont Blanc=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E7=2E Movado=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E8=2E Oris=3C=2Ffont...

I'm trying to import a table into R the file is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what,

...wer = c( 1000, 0 ) > , upper = c( 3000, 8.0063 ) > ) > a2 <- as.vector( coef( myfit2 )[ "a" ] ) > b2 <- ( 1000 > - exp( as.vector( coef( myfit2 )[ "log1ab" ] ) ) > ) / a > > brks <- c( 500, 1e6, 2e6, 3e6, 4e6 ) > ggplot( objdtass2, aes( x=a, y=b, z = x, fill=x ) ) + > geom_tile() + > geom_contour( breaks = brks ) + > geom_point( x=a2, y=b2, colour="red" ) + > geom_point( x=objdtass2min$a > , y=objdtass2min$b > , colour...

...sl %ds:(%esi),(%dx) > 3d5: 6a 65 push $0x65 > 3d7: 63 74 73 2f arpl %si,0x2f(%ebx,%esi,2) > @@ -11642,13 +11642,13 @@ > 3e1: 65 gs > 3e2: 2f das > 3e3: 63 6f 6d arpl %bp,0x6d(%edi) > - 3e6: 70 69 jo 451 <__FUNCTION__.21323+0x1> > + 3e6: 70 69 jo 451 <__FUNCTION__.21236+0x1> > 3e8: 6c insb (%dx),%es:(%edi) > 3e9: 65 gs > - 3ea: 72 2f jb 41b <__FUNCTION__.2...

The saga continues. I've been tracking the interface changes and merging them with the refactoring work I'm doing. I got as far as building stage3 of llvm-gcc but the object files from stage2 and stage3 differ: warning: ./cc1-checksum.o differs warning: ./cc1plus-checksum.o differs (Are the above two ok?) The list below is clearly bad. I think it's every object file in the

When unpacking the solaris source onto a local disk on a system running build 39 I got the following panic: panic[cpu0]/thread=d2c8ade0: really out of space d2c8a7b4 zfs:zio_write_allocate_gang_members+3e6 (e4385ac0) d2c8a7d0 zfs:zio_dva_allocate+81 (e4385ac0) d2c8a7e8 zfs:zio_next_stage+66 (e4385ac0) d2c8a800 zfs:zio_checksum_generate+5e (e4385ac0) d2c8a81c zfs:zio_next_stage+66 (e4385ac0) d2c8a83c zfs:zio_wait_for_children+46 (e4385ac0, 1, e4385c) d2c8a850 zfs:zio_wait_children_ready+18 (e4385ac0)...

I ran the following script. I satisfied the constraint by making a*b a single parameter, which isn't always possible. I also ran nlxb() from nlsr package, and this gives singular values of the Jacobian. In the unconstrained case, the svs are pretty awful, and I wouldn't trust the results as a model, though the minimum is probably OK. The constrained result has a much larger sum of squares.

https://cran.r-project.org/web/views/Optimization.html (Cran's optimization task view -- as always, you should search before posting) In general, nonlinear optimization with nonlinear constraints is hard, and the strategy used here (multiplying by a*b < 1000) may not work -- it introduces a discontinuity into the objective function, so gradient based methods may in particular be