[BlindRUG] [EXTERNAL EMAIL] Problem with processing capacity.

[Robin Williams]

Hi,

This question might be more appropriate for Stack Exchange or something similar. My only advice would be to call the garbage collection function gc() at regular points in your code. Otherwise, it might well be that you need to find an alternative machine, or to reduce the number of computations in another way. I'm afraid I'm not familiar with this package.

Bests,
Robin

-----Original Message-----
From: BlindRUG <blindrug-bounces at nfbnet.org> On Behalf Of shey lontum via BlindRUG
Sent: 25 March 2020 04:20
To: Blind R Users Group <blindrug at nfbnet.org>
Cc: shey lontum <sheylontum at gmail.com>
Subject: [EXTERNAL EMAIL] [BlindRUG] Problem with processing capacity.

Greetings to the Blind RUG community. Please I need help with a problem as follows:

I am working on a modeling project, part of which involves fitting a Bayesian model with a uniform prior. I am using the bas.lm function from the BAS package. The project is written on r markdown and rendered using the rmarkdown package.

When I try to render the document, execution delays on the Bayesian modeling chunk for ages, only to come up later with an error that
says: “Cannot allocate vector of size 10.3GB”. I used memory.limit() to increase available memory, and this time the process freeses my computer entirely for the entire day and I have to finally terminate the process through a forced shut down.

I have tried R studio cloud and a number of cloud alternatives, but I struggle to figure out how they work. Please can someone suggest a cloud option that works, or any other possible solution to the problem?

I use a Lenovo thinkpad computer with an intel core I-7 processor, quart core at 2.2 GZ, and a 16 GB Ram. If someone has more superior processing capabilities and can help me, I can send over the Rmd file and the data.

Regards.
Shey.


--
Lontum E. Nchadze (M.Sc)
2017 Mandela Washington Fellow (Georgia State University) Statistical Analyst (Cameroon Ministry of Finance)
+(237) 677 199 500
"To win a war is not to win every battle, but to win crucial battles."

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