half Of jim
> holtman
> Sent: Monday, February 2, 2015 10:23 AM
> To: Yuan, Rebecca
> Cc: R help (r-help@r-project.org)
> Subject: Re: [R] Error: OutOfMemoryError (Java): GC overhead limit exceeded
>
> How big are the worksheets that you are reading in? Do you have multiple
[mailto:r-help-boun...@r-project.org] On Behalf Of jim holtman
Sent: Monday, February 2, 2015 10:23 AM
To: Yuan, Rebecca
Cc: R help (r-help@r-project.org)
Subject: Re: [R] Error: OutOfMemoryError (Java): GC overhead limit exceeded
How big are the worksheets that you are reading in? Do you have mu
>
>
> Rebecca
>
>
>
>
>
> *From:* jim holtman [mailto:jholt...@gmail.com]
> *Sent:* Monday, February 02, 2015 10:21 AM
> *To:* Jeff Newmiller
> *Cc:* Yuan, Rebecca; R help (r-help@r-project.org)
> *Subject:* Re: [R] Error: OutOfMemoryError (Java): GC overhead limit
&g
: OutOfMemoryError (Java): GC overhead limit exceeded
On the off-chance, are you using XLConnect or xlsx packages that are using Java
to access the spreadsheets? If it is XLConnect, are you access the '.xlsx'
style workbooks? If so, can you try using '.xls' workbooks? This is a problem
On the off-chance, are you using XLConnect or xlsx packages that are using
Java to access the spreadsheets? If it is XLConnect, are you access the
'.xlsx' style workbooks? If so, can you try using '.xls' workbooks? This
is a problem that I have had; the '.xlsx' workbooks take a lot more
resource
The memory issue is in Java, not R.
You can either be more parsimonious in your use of Java memory (we have no idea
what you are doing with it here, so how you do that is up to you), or you can
allocate more memory to Java (you may be able to guess how to do that, or read
the Java documentation
Hello all,
When I met this following error message:
Error: OutOfMemoryError (Java): GC overhead limit exceeded
I usually use the following options to overcome the memory limit:
options(java.parameters = "-Xmx1024m") # to reduce the error message "Error:
OutOfMemoryError (Java): GC overhead lim
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