李倩雯
2015-Mar-10 03:16 UTC
[R] Error: cannot allocate vector of size 64.0 Mb When Using Read.zoo()
Hi all, *Problem Description* I encountered the *Error: cannot allocate vector of size 64.0 Mb* when I was using read.zoo to convert a data.frame called 'origin' to zoo object named 'target' *About the Data & Code* My data frame(origin) contains 5340191 obs. of 3 variables[Data, Numeric,Character] The code looks like *target<-read.zoo(origin,format="%m/%d/%Y",index.column=1,split=3)* *SessionInfo:* R version 3.1.2 (2014-10-31) Platform: x86_64-w64-mingw32/x64 (64-bit) Installed memory: 4.00 GB (3.82 GB usable) Result of memory.size() : 3812.85 I try to calculate the required memory but I don't know what are the operations in such conversion process. Therefore I have no idea if my data is too mass to handle or I was using a low efficient method. Can anyone help me with this problem? By the way, as this is the first time I turn to mailing list for help, I am not sure if I ask in the right manner. Please tell me if any suggestions.Thank you. Best regards, Jasmine [[alternative HTML version deleted]]
Uwe Ligges
2015-Mar-10 14:48 UTC
[R] Error: cannot allocate vector of size 64.0 Mb When Using Read.zoo()
On 10.03.2015 04:16, ??? wrote:> Hi all, > > *Problem Description* > I encountered the *Error: cannot allocate vector of size 64.0 Mb* when I > was using read.zoo to convert a data.frame called 'origin' to zoo object > named 'target' > > *About the Data & Code* > My data frame(origin) contains 5340191 obs. of 3 variables[Data, > Numeric,Character] > The code looks like > *target<-read.zoo(origin,format="%m/%d/%Y",index.column=1,split=3)* > > *SessionInfo:* > R version 3.1.2 (2014-10-31) > Platform: x86_64-w64-mingw32/x64 (64-bit) > Installed memory: 4.00 GB (3.82 GB usable) > Result of memory.size() : 3812.85I guess you have lots of stuff in your workspace? Clean that uop and try again. Best, Uwe Ligges> > I try to calculate the required memory but I don't know what are the > operations in such conversion process. Therefore I have no idea if my data > is too mass to handle or I was using a low efficient method. Can anyone > help me with this problem? > > By the way, as this is the first time I turn to mailing list for help, I am > not sure if I ask in the right manner. Please tell me if any > suggestions.Thank you. > > > Best regards, > Jasmine > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >
李倩雯
2015-Mar-10 18:08 UTC
[R] Error: cannot allocate vector of size 64.0 Mb When Using Read.zoo()
I dont think so. I removed all variables except for the data I was to use and tried gc() to release some memories. But the error still happened. Regards, Jasmine On 10 Mar, 2015 10:49 pm, "Uwe Ligges" <ligges at statistik.tu-dortmund.de> wrote:> > > On 10.03.2015 04:16, ??? wrote: > >> Hi all, >> >> *Problem Description* >> I encountered the *Error: cannot allocate vector of size 64.0 Mb* when I >> was using read.zoo to convert a data.frame called 'origin' to zoo object >> named 'target' >> >> *About the Data & Code* >> My data frame(origin) contains 5340191 obs. of 3 variables[Data, >> Numeric,Character] >> The code looks like >> *target<-read.zoo(origin,format="%m/%d/%Y",index.column=1,split=3)* >> >> *SessionInfo:* >> R version 3.1.2 (2014-10-31) >> Platform: x86_64-w64-mingw32/x64 (64-bit) >> Installed memory: 4.00 GB (3.82 GB usable) >> Result of memory.size() : 3812.85 >> > > I guess you have lots of stuff in your workspace? Clean that uop and try > again. > > Best, > Uwe Ligges > > > >> I try to calculate the required memory but I don't know what are the >> operations in such conversion process. Therefore I have no idea if my data >> is too mass to handle or I was using a low efficient method. Can anyone >> help me with this problem? >> >> By the way, as this is the first time I turn to mailing list for help, I >> am >> not sure if I ask in the right manner. Please tell me if any >> suggestions.Thank you. >> >> >> Best regards, >> Jasmine >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at 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. >> >>[[alternative HTML version deleted]]