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
Try increasing the heap size. Restart R and:
options(java.parameters="-Xmx1024m")
library(...)
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