Java uses "heap space" when creating new objects. My guess is that
since the default size is 128 Mb iirc, you are reading in an object
larger than this. I don't know the guts of the xlsx package or if
there is a way to increase the heap, but you may get by if you can
divide up your data import.
HTH,
Jon
On Tue, Jun 14, 2011 at 12:06 PM, dM/ <david.n.mene...@gmail.com> wrote:
> I’ve got an Excel workbook with about 30 worksheets. Each worksheet
> has 10000 rows of data over 30 columns.
>
> I’d like to read the data from each worksheet into a dataframe or
> matrix in R for processing. Normally, I use read.csv when interacting
> with Excel but I’d rather manipulate a multisheet workbook directly
> than set about splitting the original workbook and saving down each
> part as a csv.
>
> So far, I’ve tried using read.xlsx from the xlsx package. This works
> fine for small test files – e.g. suppose I’m trying to read from the
> test_file workbook on my desktop. The following code extracts rows 1
> and 2 from worksheet = “johnny”.
>
> setwd("C:\\Documents and Settings\\dmenezes\\Desktop")
> info<-
> read.xlsx("test_file.xlsx",sheetName="johnny",rowIndex=1:2,header=FALSE)
> info
>
> However, when I try to apply this to my real, large workbook, things
> go wrong, with the following error message. Any ideas/workarounds?
>
> Error in .jcall("RJavaTools", "Ljava/lang/Object;", "invokeMethod",
> cl, :
> java.lang.OutOfMemoryError: Java heap space
>
> ______________________________________________
> 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.
>
--
===============================================
Jon Daily
Technician
===============================================
#!/usr/bin/env outside
# It's great, trust me.
______________________________________________
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.
