[R] R Studio v3.0.3 for Windows 32bits is too slow

Jeff Newmiller jdnewmil at dcn.davis.CA.us
Wed Jul 9 18:24:14 CEST 2014

Grumpy today, Bert?

While it is a fact that RStudio is a separate tool from R, it is clear from the question that the OP is interested in capabilities that R is providing and he simply cannot tell the difference.


1) "Better" is a word that leads to pointless arguments. You will have to be the judge of what works for you. I caution you that Open Source tools almost always achieve success by interoperating with other OS tools, and much of the success you have already obtained is the result of many contributions, of which R and its contributed packages deserve the lion's share of credit. RStudio is a very convenient editor that makes using R and LaTeX and Markdown and version control easier, but it is unlikely that either the blame for your dissatisfaction or the credit for your success should be attributed to RStudio.

I have successfully used all sorts of plain text editors and command line interfaces with R, and if you plan to scale up your projects then you will likely want to be very clear on this distinction between editors and computing tools so you can distribute your work on multiple parallel servers (where editors may not necessarily even be helpful) even if you choose to use RStudio as your controlling environment for launching such tasks.

2) and 3) I know that R has contributed packages that can manage Hadoop data processing, but I have no personal experience with them. Google is your friend... especially if you keep in mind that these tools are not all found in one monolithic package.

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On July 9, 2014 7:10:00 AM PDT, Bert Gunter <gunter.berton at gene.com> wrote:
>RStudio is a separate product with its own support. Post there, not
>-- Bert
>Bert Gunter
>Genentech Nonclinical Biostatistics
>(650) 467-7374
>"Data is not information. Information is not knowledge. And knowledge
>is certainly not wisdom."
>Clifford Stoll
>On Tue, Jul 8, 2014 at 7:34 PM, Phan, Truong Q
><Troung.Phan at team.telstra.com> wrote:
>> Hi R'er,
>> I have a dataset which has a matrix of 7502 x 1426 (rows x columns).
>> The data is in a CSV format which has a size around 68Mb. This
>dataset is less than 10% of our dataset.
>> I have been adopting the Anomaly detection method as described by
>http://www.mattpeeples.net/kmeans.html .
>> It has been running more than 24hrs and still haven't completed the
>> I did manage to run it with a smaller dataset (ie, 2100 rows x 1426
>columns). It took around 12hrs to run.
>> I have a few questions and need your expertise guidance.
>> 1)      Is there any better Open source tools to use to do in one
>tool (eg, R Studio): prepare data, build models, validate models, test
>models and present data. I am looking a tool which will allow me to do
>the same as per the above link (Matt Peeples' blog).
>> 2)      Is there an Open source tools to perform the above which will
>allow me to run on top of Hadoop eco-system?
>> 3)      Can we use R Studio for windows as a client to run on top of
>Hadoop eco-system? If yes, please point me to the site where they have
>a use cases or samples.
>> Thanks and Regards,
>> Truong Phan
>>         [[alternative HTML version deleted]]
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>R-help at r-project.org mailing list
>PLEASE do read the posting guide
>and provide commented, minimal, self-contained, reproducible code.

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