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" <lig...@statistik.tu-dortmund.de> wrote: > > > On 10.03.2015 04:16, 李倩雯 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@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]] ______________________________________________ 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.
