Error: Cannot allocate vector of size 279.1Mb
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@desiree-wilson-5203
Last seen 9.7 years ago
Hello everyone. How are you all doing? My name is Desiree. I'm a 1st grad student experiencing problems reading 27 CEL files into R using the ReadAffy command. The total size of these files are 350 Mb. Here are my commands: > library(affy) # loads the "Affy" package > library(limma) # loads the "Limma" package > setwd("path directory to the CEL files") >mydata<-ReadAffy( ) # reads all of the CEL files in my work directory But after I run the last command, I get the following error message: Error: cannot allocate vector of size 279.1 Mb In addition: Warning messages: 1: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : Reached total allocation of 1535Mb: see help(memory.size) 2: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : Reached total allocation of 1535Mb: see help(memory.size) 3: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : Reached total allocation of 1535Mb: see help(memory.size) 4: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : Reached total allocation of 1535Mb: see help(memory.size) I've done it before on the same computer (specs: Lenovo Think with Intel Core 2 Quad CPU Q9400 @2.66GHz, 3.00 of RAM, Microsoft Windows XP Professional Version 2002). I've read previous posts and I will admit that the solutions offered are very hard for me to understand (I am a beginner). I have tried using the "memory.limit(size=3000)" command and then run the "ReadAffy()" command again but I still get the same error message. Any suggestions would be greatly appreciated. --Desiree Wilson [[alternative HTML version deleted]]
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@steve-lianoglou-2771
Last seen 14 months ago
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Hi, Are you running R in 32 or 64 bit mode? What is the value of `.Machine$sizeof.pointer` when you punch that into your R workspace? Also, please provide output of sessionInfo() -steve On Tue, Apr 3, 2012 at 12:42 PM, Desiree Wilson <desiree.s.wilson at="" gmail.com=""> wrote: > Hello everyone. How are you all doing? > > My name is Desiree. I'm a 1st grad student experiencing problems reading 27 > CEL files into R using the ReadAffy command. The total size of these files > are 350 Mb. Here are my commands: > >> library(affy) # loads the "Affy" package >> library(limma) # loads the "Limma" package >> setwd("path directory to the CEL files") >>mydata<-ReadAffy( ) # reads all of the CEL files in my work directory > > But after I run the last command, I get the following error message: > Error: cannot allocate vector of size 279.1 Mb > In addition: Warning messages: > 1: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", ?: > ?Reached total allocation of 1535Mb: see help(memory.size) > 2: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", ?: > ?Reached total allocation of 1535Mb: see help(memory.size) > 3: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", ?: > ?Reached total allocation of 1535Mb: see help(memory.size) > 4: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", ?: > ?Reached total allocation of 1535Mb: see help(memory.size) > > I've done it before on the same computer (specs: Lenovo Think with Intel > Core 2 Quad CPU Q9400 @2.66GHz, 3.00 of RAM, Microsoft Windows XP > Professional Version 2002). > > I've read previous posts and I will admit that the solutions offered are > very hard for me to understand (I am a beginner). I have tried using the > "memory.limit(size=3000)" command and then run the "ReadAffy()" command > again but I still get the same error message. Any suggestions would be > greatly appreciated. > --Desiree Wilson > > ? ? ? ?[[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Steve Lianoglou Graduate Student: Computational Systems Biology ?| Memorial Sloan-Kettering Cancer Center ?| Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
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I am running R in 32 bit mode because I have Windows XP. I wasn't aware that Windows XP can run 64 bit mode. I should look into this. On Tue, Apr 3, 2012 at 11:46 AM, Steve Lianoglou < mailinglist.honeypot@gmail.com> wrote: > Hi, > > Are you running R in 32 or 64 bit mode? > What is the value of `.Machine$sizeof.pointer` when you punch that > into your R workspace? > Also, please provide output of sessionInfo() > > -steve > > > On Tue, Apr 3, 2012 at 12:42 PM, Desiree Wilson > <desiree.s.wilson@gmail.com> wrote: > > Hello everyone. How are you all doing? > > > > My name is Desiree. I'm a 1st grad student experiencing problems reading > 27 > > CEL files into R using the ReadAffy command. The total size of these > files > > are 350 Mb. Here are my commands: > > > >> library(affy) # loads the "Affy" package > >> library(limma) # loads the "Limma" package > >> setwd("path directory to the CEL files") > >>mydata<-ReadAffy( ) # reads all of the CEL files in my work directory > > > > But after I run the last command, I get the following error message: > > Error: cannot allocate vector of size 279.1 Mb > > In addition: Warning messages: > > 1: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : > > Reached total allocation of 1535Mb: see help(memory.size) > > 2: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : > > Reached total allocation of 1535Mb: see help(memory.size) > > 3: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : > > Reached total allocation of 1535Mb: see help(memory.size) > > 4: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : > > Reached total allocation of 1535Mb: see help(memory.size) > > > > I've done it before on the same computer (specs: Lenovo Think with Intel > > Core 2 Quad CPU Q9400 @2.66GHz, 3.00 of RAM, Microsoft Windows XP > > Professional Version 2002). > > > > I've read previous posts and I will admit that the solutions offered are > > very hard for me to understand (I am a beginner). I have tried using the > > "memory.limit(size=3000)" command and then run the "ReadAffy()" command > > again but I still get the same error message. Any suggestions would be > > greatly appreciated. > > --Desiree Wilson > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@r-project.org > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > -- > Steve Lianoglou > Graduate Student: Computational Systems Biology > | Memorial Sloan-Kettering Cancer Center > | Weill Medical College of Cornell University > Contact Info: http://cbio.mskcc.org/~lianos/contact > [[alternative HTML version deleted]]
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On 04/03/2012 09:51 AM, Desiree Wilson wrote: > I am running R in 32 bit mode because I have Windows XP. I wasn't aware > that Windows XP can run 64 bit mode. I should look into this. If you're planning on RMA or GCRMA normalization then memory efficient implementations are available in affy (justRMA) or gcrma (justGCRMA). You might also look into using the Bioconductor AMI http://bioconductor.org/help/bioconductor-cloud-ami/ which would be more cost-effective than buying more memory (I think the 'try-it-now' instance has 4 GB of memory and so wouldn't cost you anything for 2 hours of processing time). Martin > > On Tue, Apr 3, 2012 at 11:46 AM, Steve Lianoglou< > mailinglist.honeypot at gmail.com> wrote: > >> Hi, >> >> Are you running R in 32 or 64 bit mode? >> What is the value of `.Machine$sizeof.pointer` when you punch that >> into your R workspace? >> Also, please provide output of sessionInfo() >> >> -steve >> >> >> On Tue, Apr 3, 2012 at 12:42 PM, Desiree Wilson >> <desiree.s.wilson at="" gmail.com=""> wrote: >>> Hello everyone. How are you all doing? >>> >>> My name is Desiree. I'm a 1st grad student experiencing problems reading >> 27 >>> CEL files into R using the ReadAffy command. The total size of these >> files >>> are 350 Mb. Here are my commands: >>> >>>> library(affy) # loads the "Affy" package >>>> library(limma) # loads the "Limma" package >>>> setwd("path directory to the CEL files") >>>> mydata<-ReadAffy( ) # reads all of the CEL files in my work directory >>> >>> But after I run the last command, I get the following error message: >>> Error: cannot allocate vector of size 279.1 Mb >>> In addition: Warning messages: >>> 1: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>> Reached total allocation of 1535Mb: see help(memory.size) >>> 2: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>> Reached total allocation of 1535Mb: see help(memory.size) >>> 3: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>> Reached total allocation of 1535Mb: see help(memory.size) >>> 4: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>> Reached total allocation of 1535Mb: see help(memory.size) >>> >>> I've done it before on the same computer (specs: Lenovo Think with Intel >>> Core 2 Quad CPU Q9400 @2.66GHz, 3.00 of RAM, Microsoft Windows XP >>> Professional Version 2002). >>> >>> I've read previous posts and I will admit that the solutions offered are >>> very hard for me to understand (I am a beginner). I have tried using the >>> "memory.limit(size=3000)" command and then run the "ReadAffy()" command >>> again but I still get the same error message. Any suggestions would be >>> greatly appreciated. >>> --Desiree Wilson >>> >>> [[alternative HTML version deleted]] >>> >>> _______________________________________________ >>> Bioconductor mailing list >>> Bioconductor at r-project.org >>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor >> >> >> >> -- >> Steve Lianoglou >> Graduate Student: Computational Systems Biology >> | Memorial Sloan-Kettering Cancer Center >> | Weill Medical College of Cornell University >> Contact Info: http://cbio.mskcc.org/~lianos/contact >> > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Computational Biology Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: M1-B861 Telephone: 206 667-2793
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On 04/03/2012 12:33 PM, Martin Morgan wrote: > On 04/03/2012 09:51 AM, Desiree Wilson wrote: >> I am running R in 32 bit mode because I have Windows XP. I wasn't aware >> that Windows XP can run 64 bit mode. I should look into this. > > If you're planning on RMA or GCRMA normalization then memory efficient > implementations are available in affy (justRMA) or gcrma (justGCRMA). > > You might also look into using the Bioconductor AMI > http://bioconductor.org/help/bioconductor-cloud-ami/ which would be more > cost-effective than buying more memory (I think the 'try-it-now' > instance has 4 GB of memory and so wouldn't cost you anything for 2 > hours of processing time). I guess the 'try-it-now' instances are so-called 'micro-instances', with only 613MB of memory, so to use the AMI you'd have to actually go through the process of creating a larger instance as outlined on http://bioconductor.org/help/bioconductor-cloud-ami/ Martin > > Martin > >> >> On Tue, Apr 3, 2012 at 11:46 AM, Steve Lianoglou< >> mailinglist.honeypot at gmail.com> wrote: >> >>> Hi, >>> >>> Are you running R in 32 or 64 bit mode? >>> What is the value of `.Machine$sizeof.pointer` when you punch that >>> into your R workspace? >>> Also, please provide output of sessionInfo() >>> >>> -steve >>> >>> >>> On Tue, Apr 3, 2012 at 12:42 PM, Desiree Wilson >>> <desiree.s.wilson at="" gmail.com=""> wrote: >>>> Hello everyone. How are you all doing? >>>> >>>> My name is Desiree. I'm a 1st grad student experiencing problems >>>> reading >>> 27 >>>> CEL files into R using the ReadAffy command. The total size of these >>> files >>>> are 350 Mb. Here are my commands: >>>> >>>>> library(affy) # loads the "Affy" package >>>>> library(limma) # loads the "Limma" package >>>>> setwd("path directory to the CEL files") >>>>> mydata<-ReadAffy( ) # reads all of the CEL files in my work directory >>>> >>>> But after I run the last command, I get the following error message: >>>> Error: cannot allocate vector of size 279.1 Mb >>>> In addition: Warning messages: >>>> 1: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>>> Reached total allocation of 1535Mb: see help(memory.size) >>>> 2: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>>> Reached total allocation of 1535Mb: see help(memory.size) >>>> 3: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>>> Reached total allocation of 1535Mb: see help(memory.size) >>>> 4: In `rownames<-`(`*tmp*`, value = c("1", "2", "3", "4", "5", "6", : >>>> Reached total allocation of 1535Mb: see help(memory.size) >>>> >>>> I've done it before on the same computer (specs: Lenovo Think with >>>> Intel >>>> Core 2 Quad CPU Q9400 @2.66GHz, 3.00 of RAM, Microsoft Windows XP >>>> Professional Version 2002). >>>> >>>> I've read previous posts and I will admit that the solutions offered >>>> are >>>> very hard for me to understand (I am a beginner). I have tried using >>>> the >>>> "memory.limit(size=3000)" command and then run the "ReadAffy()" command >>>> again but I still get the same error message. Any suggestions would be >>>> greatly appreciated. >>>> --Desiree Wilson >>>> >>>> [[alternative HTML version deleted]] >>>> >>>> _______________________________________________ >>>> Bioconductor mailing list >>>> Bioconductor at r-project.org >>>> https://stat.ethz.ch/mailman/listinfo/bioconductor >>>> Search the archives: >>> http://news.gmane.org/gmane.science.biology.informatics.conductor >>> >>> >>> >>> -- >>> Steve Lianoglou >>> Graduate Student: Computational Systems Biology >>> | Memorial Sloan-Kettering Cancer Center >>> | Weill Medical College of Cornell University >>> Contact Info: http://cbio.mskcc.org/~lianos/contact >>> >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at r-project.org >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor > > -- Computational Biology Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: M1-B861 Telephone: 206 667-2793
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