Jim,

Thanks.

However that doesn't solve my problem.  I should have said my problem is 
finding the source of the error:- is it me?; or is it the local system here?; 
or is it a problem with R's internal download command.

I know that the package is being truncated because I did download it outside of 
R and compared the 2 files.  They were identical (byte for byte) up to the 
point of truncation.

If there is an R error then I am keen to report it as such. [[Note that first 
off I thought it was an error with the CRAN packages and reported it there only 
to be embarrassed when I subsequently proved that the package was good.]]  
However if there is proxy server or firewall problems then I want to report it 
to the local service desk.  Just doing a work-around is not satisfactory in 
that some poor hapless person is also going to come a'cropper with this in the 
future.

Any pointers as how to proceed?  I am currently stumped because "download" is 
an internal command and I can't dive into it to trace the source the error.

Ian

Ian Shannon
Landscape Modelling and Decision Support Section
Office of Environment & Heritage
PO Box A290 Sydney South
NSW       1232
Phone: (02) 99 955 490
Mob:       0424 724 352
Please consider the environment before printing my email


-----Original Message-----
From: jim holtman 
Sent: Monday, September 17, 2012 10:36 PM
To: Shannon Ian
Cc: r-help@r-project.org
Subject: Re: [R] download truncating large files

Try downloading the zip file using the browser interface to see if it might be 
something with your proxy.  Do this outside of R to see if you have the same 
problem.  After that, you can just install from a local zip file.

On Mon, Sep 17, 2012 at 5:21 AM, Ian Shannon wrote:
> Hi there,
>
> I have had a problem with loading the package XLConnectJars_0.2-0.zip 
> from the CRAN mirrors. The problem occurs when executing
> utils:::menuInstallPkgs()
> I have traced the problem down to the "download" internal command.  It 
> appears that files over approx 15 MB are being truncated.  The exact point of 
> truncation varies slightly but the truncation is on a 4096-byte boundary.
>
> I am running =>
>
>
> R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
> Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 
> 3-900051-07-0
> Platform: i386-pc-mingw32/i386 (32-bit)
>
....

--
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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