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.
______________________________________________ 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.