search for: rdx2

...fy the beginning and end of an .RData file? I am trying to restore lost files on opensolaris where the table of contents is overwritten and will be reading the raw disk byte by byte. I looked at several files in hex and the end seems different, while most of them, but not all begin with RDX2.X Thank you. Stephen C. Bond

...ent ds <- unserialize(con,NULL)[["ds"]] close(con) But this takes up too much memory if the data set is too big. I can read in the file character-by-character, i.e. using readChar(), but it's obvious that the file format is not trivial. readChar(con,10000) for this demo yields: RDX2\nX\n\0\0\0\002\0\002\004\001\0\002\003\0\0\0\004\002\0\0\0\001\0\0\020\t\0\0\0\002ds\0\0\003\023\0\0\0\002\0\0\0\016\0\0\0\003??\0\0\0\0\0\0@\0\0\0\0\0\0\0@\b\0\0\0\0\0\0\0\0\003\r\0\0\0\003\0\0\0\001\0\0\0\002\0\0\0\003\0\0\004\002\0\0\0\001\0\0\020\t\0\0\0\006levels\0\0\0\020\0\0\0\003\0\0\0\t\0\...

....exit.phi, <4 x i32> undef, <4 x i32> <i32 2, i32 3, i32 undef, i32 undef> %bin.rdx = add <4 x i32> %rdx.vec.exit.phi, %rdx.shuf %rdx.shuf1 = shufflevector <4 x i32> %bin.rdx, <4 x i32> undef, <4 x i32> <i32 1, i32 undef, i32 undef, i32 undef> %bin.rdx2 = add <4 x i32> %bin.rdx, %rdx.shuf1 %18 = extractelement <4 x i32> %bin.rdx2, i32 0 %cmp.n = icmp eq i32 16, %resume.val br i1 %cmp.n, label %for.end, label %scalar.ph <http://scalar.ph>scalar.ph <http://scalar.ph>: ; preds = %middl...

Full_Name: Vaidotas Zemlys Version: 2.1.1 OS: Ubuntu 05.10 Submission from: (NULL) (213.197.173.50) Hi, This is really a feature request, not a bug. I wrote the mail to R-devel, but nobody answered it. I use Gnome on my computer and sometimes I use its default text editor gedit. It uses gtksourceview library for syntax highlighting. I decided that it would be nice if gedit supported R

Here is the first few bytes, xxd -l 128 X1.RData 00000000: 8d5a 35f8 1ac5 cc14 a04e be5c 572f a3ad .Z5......N.\W/.. 00000010: 6210 7024 9b58 93c7 34d0 acb7 7a82 3f99 b.p$.X..4...z.?. 00000020: 66ce 0ebb 2057 ec36 55b4 0ece a036 695a f... W.6U....6iZ 00000030: 258b 3493 b661 f620 f7fe ada7 158a 15f7 %.4..a. ........ 00000040: e016 a548 6fcb 20c8 6fb4 493d adc9 ea4a ...Ho. .o.I=...J 00000050:

...32> undef, <4 > x i32> <i32 2, i32 3, i32 undef, i32 undef> %bin.rdx = add <4 x i32> > %rdx.vec.exit.phi, %rdx.shuf %rdx.shuf1 = shufflevector <4 x i32> > %bin.rdx, <4 x i32> undef, <4 x i32> <i32 1, i32 undef, i32 undef, i32 > undef> %bin.rdx2 = add <4 x i32> %bin.rdx, %rdx.shuf1 %18 = > extractelement <4 x i32> %bin.rdx2, i32 0 %cmp.n = icmp eq i32 16, > %resume.val br i1 %cmp.n, label %for.end, label %scalar.ph > <http://scalar.ph/>scalar.ph > <http://scalar.ph/>:...

...t;4 >> x i32> <i32 2, i32 3, i32 undef, i32 undef> %bin.rdx = add <4 x i32> >> %rdx.vec.exit.phi, %rdx.shuf %rdx.shuf1 = shufflevector <4 x i32> >> %bin.rdx, <4 x i32> undef, <4 x i32> <i32 1, i32 undef, i32 undef, i32 >> undef> %bin.rdx2 = add <4 x i32> %bin.rdx, %rdx.shuf1 %18 = >> extractelement <4 x i32> %bin.rdx2, i32 0 %cmp.n = icmp eq i32 16, >> %resume.val br i1 %cmp.n, label %for.end, label %scalar.ph >> <http://scalar.ph/>scalar.ph >> <http://scalar.ph/>:...

...> > > %bin.rdx = add <4 x i32> %rdx.vec.exit.phi, %rdx.shuf > > > > > > > %rdx.shuf1 = shufflevector <4 x i32> %bin.rdx, <4 x i32> > undef, <4 x i32> <i32 1, i32 undef, i32 undef, i32 undef> > > > > > > > %bin.rdx2 = add <4 x i32> %bin.rdx, %rdx.shuf1 > > > > > > > %18 = extractelement <4 x i32> %bin.rdx2, i32 0 > > > > > > > %cmp.n = icmp eq i32 16, %resume.val > > > > > > > br i1 %cmp.n, label %for.end, label %scalar.ph( > h...

Currently, I load the RData file then ls() and str(). But loading the file takes too long if the file is big. Most of the time, I only interested what the variables are in the the file and the attributes of the variables (like if it is a data.frame, matrix, what are the colnames/rownames, etc.) I'm wondering if there is any facility in R to help me avoid loading the whole file.

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]