Comments on: Top 5 Reasons R is Good for you http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/ Data mining crossroads - research, applications, news, list of blogs and customized search engine about data mining. Thu, 09 Sep 2010 02:13:32 +0200 http://wordpress.org/?v=2.8.5 hourly 1 By: QuantMinds » Recommendation on R http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-74795 QuantMinds » Recommendation on R Sun, 07 Feb 2010 06:10:23 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-74795 [...] http://www.dataminingblog.com/2009/01/21/top-5-reasons-r-is-good-for-you/ [...] [...] http://www.dataminingblog.com/2009/01/21/top-5-reasons-r-is-good-for-you/ [...]

]]> By: Sandro Saitta http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-6572 Sandro Saitta Fri, 17 Apr 2009 23:04:45 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-6572 @Kirk Thanks for the information. @Kirk Thanks for the information.

]]> By: Kirk Mettler http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-6472 Kirk Mettler Fri, 17 Apr 2009 16:32:50 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-6472 We have worked with a number of people using large data sets in R. However, a more universal solution to the "big data" problem in R is in the works. We have worked with a number of people using large data sets in R. However, a more universal solution to the “big data” problem in R is in the works.

]]> By: Sandro Saitta http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-751 Sandro Saitta Tue, 27 Jan 2009 16:04:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-751 @Paolo: Thanks for the link. This is an interesting discussion! @Paolo: Thanks for the link. This is an interesting discussion!

]]> By: Paolo http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-750 Paolo Tue, 27 Jan 2009 10:21:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-750 @Sandro<br/>Regarding the performance issue (and more), the R-help mailing list can be very useful: see, for example, the thread starting here:<br/>http://tolstoy.newcastle.edu.au/R/e6/help/09/01/0138.html @Sandro
Regarding the performance issue (and more), the R-help mailing list can be very useful: see, for example, the thread starting here:
http://tolstoy.newcastle.edu.au/R/e6/help/09/01/0138.html

]]> By: Sandro Saitta http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-749 Sandro Saitta Mon, 26 Jan 2009 08:32:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-749 @Will: Thanks for your comment! What I meant by "R is as convenient as Matlab", was in the programming point of view (I realized the sentence was not clear enough). It is easy to program in R and Matlab (compared to other languages). Of course, this is a very personal point of view.<br/><br/>Regarding R's performance, I have made no test up to now. @Will: Thanks for your comment! What I meant by “R is as convenient as Matlab”, was in the programming point of view (I realized the sentence was not clear enough). It is easy to program in R and Matlab (compared to other languages). Of course, this is a very personal point of view.

Regarding R’s performance, I have made no test up to now.

]]> By: Will Dwinnell http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-748 Will Dwinnell Fri, 23 Jan 2009 01:34:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-748 <i>R is as convenient as Matlab</i><br/><br/>Whoa! Let's not say anything that we can't take back! Heh heh...<br/><br/>Actually, I am curious as to scalability. I see that someone else has mentioned a limitation in data size to physical RAM, but I wonder more about speed of computation. In my limited experience several years ago with S-Plus (R's commercial cousin), performance on data sets I would consider small was abysmally slow. Can you characterize R's performance on data tables whose size are typical of data mining projects?<br/><br/><br/>-Will Dwinnell<br/><a HREF="http://matlabdatamining.blogspot.com/" REL="nofollow">Data Mining in MATLAB</a> R is as convenient as Matlab

Whoa! Let’s not say anything that we can’t take back! Heh heh…

Actually, I am curious as to scalability. I see that someone else has mentioned a limitation in data size to physical RAM, but I wonder more about speed of computation. In my limited experience several years ago with S-Plus (R’s commercial cousin), performance on data sets I would consider small was abysmally slow. Can you characterize R’s performance on data tables whose size are typical of data mining projects?

-Will Dwinnell
Data Mining in MATLAB

]]> By: Sandro Saitta http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-747 Sandro Saitta Thu, 22 Jan 2009 16:43:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-747 @Steffen: I don't know about R books, but I'm sure they exist. I prefer to use tutorials such as <a HREF="http://www.liaad.up.pt/~ltorgo/DataMiningWithR/" REL="nofollow">Data Mining with R</a>, for example.<br/><br/>@Matthias: I agree that R has some limitations, and maybe in some situations (very big data sets) it is not possible to use R.<br/><br/>@Erik: That's a very good point. In fact I have the same issue in using R in finance since I have to load all prices for a given time period and a set of stocks... in my case, this is not feasible under Windows (due to RAM limitations). @Steffen: I don’t know about R books, but I’m sure they exist. I prefer to use tutorials such as Data Mining with R, for example.

@Matthias: I agree that R has some limitations, and maybe in some situations (very big data sets) it is not possible to use R.

@Erik: That’s a very good point. In fact I have the same issue in using R in finance since I have to load all prices for a given time period and a set of stocks… in my case, this is not feasible under Windows (due to RAM limitations).

]]> By: Erik http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-745 Erik Thu, 22 Jan 2009 09:22:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-745 I would like to give the top one reason I think why R is not used in operational data mining: One of R main weaknesses is the way data is managed. There is a workspace in memory in which data have to be imported and then from which results are exported. This means that for big dataset memory issues are frequent.<br/><br/>Remember that the vast majority of operational data mining (I mean by that, the data mining projects which results are used operationally on a day to day basis) are made in CRM. In this field, we have regularly training data sets with hundreds or thousands columns and hundreds of thousands lines, so R is cornered into domains with less data volume constraints. I would like to give the top one reason I think why R is not used in operational data mining: One of R main weaknesses is the way data is managed. There is a workspace in memory in which data have to be imported and then from which results are exported. This means that for big dataset memory issues are frequent.

Remember that the vast majority of operational data mining (I mean by that, the data mining projects which results are used operationally on a day to day basis) are made in CRM. In this field, we have regularly training data sets with hundreds or thousands columns and hundreds of thousands lines, so R is cornered into domains with less data volume constraints.

]]> By: Matthias http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you/comment-page-1/#comment-744 Matthias Wed, 21 Jan 2009 22:19:00 +0000 http://www.dataminingblog.com/top-5-reasons-r-is-good-for-you#comment-744 Ok with you.<br/><br/>R is living! A lot of functions, methods, docs and tutorials totally free!<br/><br/>Unfortunately, R is incapable to work with matrix larger than the physical memory of the PC. But if you work on "small" datasets (or aggregated data), it's the one.<br/><br/>Nevertheless, this is an excellent companion for a data miner (see deeply the data, build amazing grahics or develop personal algorithms).<br/><br/>Thanks you Sandro. Ok with you.

R is living! A lot of functions, methods, docs and tutorials totally free!

Unfortunately, R is incapable to work with matrix larger than the physical memory of the PC. But if you work on “small” datasets (or aggregated data), it’s the one.

Nevertheless, this is an excellent companion for a data miner (see deeply the data, build amazing grahics or develop personal algorithms).

Thanks you Sandro.

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