[R] Creating dataframe names on the fly?
I am aware that it is easily possible to create var names on the fly. e.g. assign(paste("m",i,sep=""),j) but is it possible to assign dataframes to variables created on the fly? e.g. If I have a dataframe called master and I wanted to subset parts of those data into separate dataframes, I could do: m1=subset(master,master$SAMPLE=='1') m2=subset(master,master$SAMPLE=='2') . but I would like to do this in a loop. Can someone give me suggestions on how to accomplish this? I tried assign(paste("m",i,sep=""),subset(master,master$SAMPLE==i) with no success. thanks! -- View this message in context: http://www.nabble.com/Creating-dataframe-names-on-the-fly--tp22631171p22631171.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] memory corruption in R
HI... I am using R-package CORElearn ( http://cran.r-project.org/web/packages/CORElearn/index.html). During its application on a dataset, It crashed. The crash message says *** glibc detected *** /usr/local/lib64/R/bin/exec/R: malloc(): memory corruption: 0x4b9b0788 *** The error log "cdump.dat" is attached. I am using R-3.1.1 and CORElearn version is 0.9.43 May I know where is the problem? Regards Mridul __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] memory corruption in R
The CORElearn crashed when I used a test file of 100MB for the analysis. However, it was difficult to send this big file to the developer, so I sent a smaller test file ( ~40MB) to the developer. With this file, the CORElearn did not crash. So, now I am now running the code with the same (~40MB) test file to see it again crashes. It will take sometime to finish. On Mon, Aug 4, 2014 at 1:18 PM, cosmos science wrote: > HI... > > I am using R-package CORElearn ( > http://cran.r-project.org/web/packages/CORElearn/index.html). > > During its application on a dataset, It crashed. The crash message says > *** glibc detected *** /usr/local/lib64/R/bin/exec/R: malloc(): memory > corruption: 0x4b9b0788 *** > > The error log "cdump.dat" is attached. > > I am using R-3.1.1 and CORElearn version is 0.9.43 > May I know where is the problem? > > Regards > Mridul > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] memory corruption in R
08:01 6292232 /usr/lib64/gconv/ISO8859-1.so 7fd246aef000-7fd246cee000 ---p 2000 08:01 6292232 /usr/lib64/gconv/ISO8859-1.so 7fd246cee000-7fd246cef000 r--p 1000 08:01 6292232 /usr/lib64/gconv/ISO8859-1.so 7fd246cef000-7fd246cf rw-p 2000 08:01 6292232 /usr/lib64/gconv/ISO8859-1.so 7fd246cf-7fd246df9000 rw-p 00:00 0 7fd246df9000-7fd246e0 r-xp 08:01 2624191 /usr/local/lib64/R/library/methods/libs/methods.so 7fd246e0-7fd24700 ---p 7000 08:01 2624191 /usr/local/lib64/R/library/methods/libs/methods.so 7fd24700-7fd247001000 rw-p 7000 08:01 2624191 /usr/local/lib64/R/library/methods/libs/methods.so 7fd247001000-7fd24700a000 r-xp 08:01 2104542 /usr/local/lib64/R/library/utils/libs/utils.so 7fd24700a000-7fd24720a000 ---p 9000 08:01 2104542 /usr/local/lib64/R/library/utils/libs/utils.so 7fd24720a000-7fd24720b000 rw-p 9000 08:01 2104542 /usr/local/lib64/R/library/utils/libs/utils.so 7fd24720b000-7fd2472b2000 rw-p 00:00 0 7fd2472b2000-7fd2472be000 r-xp 08:01 6161012 /usr/lib64/libnss_files-2.15.so 7fd2472be000-7fd2474bd000 ---p c000 08:01 6161012 /usr/lib64/libnss_files-2.15.so 7fd2474bd000-7fd2474be000 r--p b000 08:01 6161012 /usr/lib64/libnss_files-2.15.so 7fd2474be000-7fd2474bf000 rw-p c000 08:01 6161012 /usr/lib64/libnss_files-2.15.so 7fd2474de000-7fd2474e5000 r--s 08:01 6299914 /usr/lib64/gconv/gconv-modules.cache 7fd2474e5000-7fd247596000 rw-p 00:00 0 7fd2475b4000-7fd2475c8000 r--p 08:01 5716 /usr/share/fonts/default/Type1/n019003l.pfb 7fd2475c8000-7fd2475c9000 r--s 08:01 533587 /var/cache/fontconfig/87f5e051180a7a75f16eb6fe7dbd3749-le64.cache-3 7fd2475c9000-7fd2475d2000 r--s 08:01 525846 /var/cache/fontconfig/b79f3aaa7d385a141ab53ec885cc22a8-le64.cache-3 7fd2475d2000-7fd2475d5000 r--s 08:01 534865 /var/cache/fontconfig/0b1bcc92b4d25cc154d77dafe3bceaa0-le64.cache-3 7fd2475d5000-7fd2475d7000 r--s 08:01 534856 /var/cache/fontconfig/2e1514a9fdd499050989183bb65136db-le64.cache-3 7fd2475d7000-7fd2475d9000 r--s 08:01 533612 /var/cache/fontconfig/3f821257dd33660ba7bbb45c32deb84c-le64.cache-3 7fd2475d9000-7fd2475db000 r--s 08:01 533611 /var/cache/fontconfig/830f035fa84a65ce80e050178dbb630d-le64.cache-3 7fd2475db000-7fd2475dc000 r--s 08:01 533610 /var/cache/fontconfig/81a173283b451552b599cfaafd6236bd-le64.cache-3 7fd2475dc000-7fd2475dd000 r--s 08:01 533609 /var/cache/fontconfig/ac68f755438cc3dc5a526084839fc7ca-le64.cache-3 7fd2475dd000-7fd2475de000 r--s 08:01 533608 /var/cache/fontconfig/12513961c6e7090f8648812f9eaf65d6-le64.cache-3 7fd2475de000-7fd2475df000 r--s 08:01 533607 /var/cache/fontconfig/c25f174be0e642a5b89dcf759df7168e-le64.cache-3Aborted (core dumped) On Mon, Aug 4, 2014 at 1:49 PM, cosmos science wrote: > The CORElearn crashed when I used a test file of 100MB for the analysis. > However, it was difficult to send this big file to the developer, so I sent > a smaller test file ( ~40MB) to the developer. With this file, the > CORElearn did not crash. > > So, now I am now running the code with the same (~40MB) test file to see > it again crashes. It will take sometime to finish. > > > > On Mon, Aug 4, 2014 at 1:18 PM, cosmos science > wrote: > >> HI... >> >> I am using R-package CORElearn ( >> http://cran.r-project.org/web/packages/CORElearn/index.html). >> >> During its application on a dataset, It crashed. The crash message says >> *** glibc detected *** /usr/local/lib64/R/bin/exec/R: malloc(): memory >> corruption: 0x4b9b0788 *** >> >> The error log "cdump.dat" is attached. >> >> I am using R-3.1.1 and CORElearn version is 0.9.43 >> May I know where is the problem? >> >> Regards >> Mridul >> > > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Error while using rfImpute
Dear Administrator, I am using linux (suse 10.2). While attempting rfImpute, I am getting the following error message: > Members <- rfImpute(Status ~ ., data = Members) Error in .C("classRF", x = x, xdim = as.integer(c(p, n)), y = as.integer(y), : C symbol name "classRF" not in DLL for package "randomForest". I need the help to sort out above error. Thanks a lot Regards Mradul [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] RStudio 1.1.453 - Windows 10 - How to subset named vector by names that are NOT "foo"
You can do Vect[-grep (“foo”, names(vect))] On Tue, 31 Jul 2018 at 11:12 PM, إبراهيم خطاب Ibrauheem Khat'taub < barhomopo...@gmail.com> wrote: > H > i All, > > If I have this vector: > > > vect <- c(foo = 11, bar = 2, norf = 45) > > I can have a subset that has only "bar and "norf" this way: > > vect[c("bar","norf")] > > Now how do I achieve the same by asking it for a subset that simply > excludes "foo"? I tried all these, resulting in errors: > > vect[-"foo"] > vect[-c("foo")] > vect[!"foo"] > vect[!c("foo")] > > Thanks! > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Regards, Data Science Classes [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.