I also agree with Ishtiaq; R is very powerful and not only does it provide statistical functions but a lot of data mining algorithms as well, furthermore one could use R in distributed environment as well (Hadoop R streaming etc )
For statistical analyze there nothing better then R except S-Plus, many free packages are already available in R. Matlab is best for modeling.
I never used Matamatica for statistical analyze, so can not say much about it.
--ishtiaqOn Mon, Aug 22, 2011 at 9:08 AM, Usman Rafique <rafiqusman@hotmail.com> wrote:I would like to ask if Matlab or Matamatica is a good substitute for language like R. Matlab has statistical tool box and has most of function libraries needed to analyze data. Moreover, it is easy to use and have quite powerful visualization abilities.
To: pakgrid@yahoogroups.com
From: nasheikh@gmail.com
Date: Tue, 16 Aug 2011 12:21:18 -0400
Subject: Re: [pakgrid] Data Analysis using R programming language
I am not familiar with the curriculums at Graduate level CS programs in Pakistan but including R programming in an advanced data analysis course would be very useful. The course would include statistics, R, aspects of linear algebra and data analysis. A recent article in WSJ emphasizes this for business schools as numerous MBA programs are adding statistical data analysis and visualization for managersThe management culture in Pakistan is not data centric at all and therefore I would recommend CS programs introduce this. Here is the excerpt of the article from WSJRegardsNauman SheikhBaltimore, MDBusiness Schools Plan Leap into Data
By
MELISSA KORN and SHARA TIBKENAug 4, 2011
Faced with an increasing stream of data from the Web and other electronic sources, many companies are seeking managers who can make sense of the numbers through the growing practice of data analytics, also known as business intelligence. Finding qualified candidates has proven difficult, but business schools hope to fill the talent gap.
This fall several schools, including Fordham University's Graduate School of Business and Indiana University's Kelley School of Business, are unveiling analytics electives, certificates and degree programs; other courses and programs were launched in the previous school year.
International Business Machines Corp., which has invested more than $14 billion buying analytics industry companies such as Coremetrics and Netezza Corp. since 2005, has teamed up with more than 200 schools, including Fordham, to develop analytics curriculum and training."The more students that graduate knowledgeable in areas we care about, the better it is not just for our company but the companies we work with," said Steve Mills, IBM senior vice president and group executive of software and systems. "It really comes down to what clients and customers need most."
Data analytics was once considered the purview of math, science and information-technology specialists......On Tue, Aug 16, 2011 at 12:07 AM, ziaimran <zia.imran@gmail.com> wrote:
AA,
Since on a recent exchange of ideas, there was mention of huge amounts of data analysis as one of the key areas for the country, I would like to point out that R programming language is a very useful tool and there are a whole slew of associated tools developed in specific verticals to do data analysis using R. Its relevance is mostly for statistical analysis but it also has been used in conjunction with data mining tools.
More information can be gleaned from,
http://en.wikipedia.org/wiki/R_%28programming_language%29
BTW R was invented by a professor at University of Auckland in New Zealand.
Regards,
Zia Imran
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