Analytics and Journals

Some good journals for reading on analytics-

1) JSS

http://www.jstatsoft.org/

present research that demonstrates the joint evolution of computational and statistical methods and techniques.  Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.

There are currently 370 articles, 23 code snippets, 86 book reviews, 4 software reviews, and 7 special volumes in archives

2) R Journal

http://journal.r-project.org/

The  Journal

3) Pharma Programming

http://maney.co.uk/index.php/journals/pha/

Pharmaceutical Programming is the official journal of the Pharmaceutical Users Software Exchange (PhUSE), a non-profit membership society with the objective of educating programmers and their managers working in the pharmaceutical industry. Available both in print and online, Pharmaceutical Programming is an international journal with focus on programming in the regulated environment of the pharmaceutical and life sciences industry.

4) SAS Papers – User Groups

http://www.lexjansen.com/

4569 SAS papers presented
at SGF/SUGI 1996-2010.
1343 SAS papers presented
at PharmaSUG 2000-2010.
1810 SAS papers presented
at NESUG 1997-2009.
1191 SAS papers presented
at SESUG 1999-2009.
463 SAS papers presented
at PhUSE 2005-2009.
787 SAS papers presented
at WUSS 2003-2009.
337 SAS papers presented
at MWSUG 2001, 2004-2009.
188 SAS papers presented
at PNWSUG 2004-2009.
246 SAS papers presented
at SCSUG 2003-2007, 2009.
221 SAS papers related to CDISC.
Easy access to the CDISC Forum.

5) http://analyticsmagazine.com/

Magazine by http://www.informs.org/

6) Data Mining Journals

Academic Journals

Journals relevant to Data Mining

Special Issue of JSS on R GUIs

An announcement by the Journal of Statistical Software- call for papers on R GUIs. Initial deadline is December 2010 with final versions published along 2011.

Announce

Special issue of the Journal of Statistical Software on

Graphical User Interfaces for R

Editors: Pedro Valero-Mora and Ruben Ledesma

Since it original paper from Gentleman and Ihaka was published, R has managed to gain an ever-increasing percentage of academic and professional statisticians but the spread of its use among novice and occasional users of statistics have not progressed at the same pace. Among the reasons for this relative lack of impact, the lack of a GUI or point and click interface is one of the causes most widely mentioned. But, however, in the last few years, this situation has been quietly changing and a number of projects have equipped R with a number of different GUIs, ranging from the very simple to the more advanced, and providing the casual user with what could be still a new source of trouble: choosing what is the GUI for him. We may have moved from the “too few” situation to the “too many” situation
This special issue of the JSS intends as one of its main goals to offer a general overview of the different GUIs currently available for R. Thus, we think that somebody trying to find its way among different alternatives may find useful it as starting point. However, we do not want to stop in a mere listing but we want to offer a bit of a more general discussion about what could be good GUIs  for R (and how to build them). Therefore, we want to see papers submitted that discuss the whole concept of GUI in R, what elements it should include (or not), how this could be achieved, and, why not, if it is actually needed at all. Finally, despite the high success of R, this does not mean other systems may not treasure important features that we would like to see in R. Indeed, descriptions of these nice features that we do not have in R but are in other systems could be another way of driving the future progress of GUIs for R.

In summary, we envision papers for this special issue on GUIs for R in the following categories:

– General discussions on GUIs for statistics, and for R.

– Implementing GUI toolboxes for R so others can program GUIs with them.

– R GUIs examples (with two subcategories, in the desktop or in the cloud).

– Is there life beyond R? What features have other systems that R does not have and why R needs them.

Papers can be sent directly to Pedro Valero-Mora (valerop@uv.es) or Ruben Ledesma (rdledesma@gmail.com) and they will follow the usual JSS reviewing procedure. Initial deadline is December 2010 with final versions published along 2011.

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Jan de Leeuw; Distinguished Professor and Chair, UCLA Department of Statistics;
Director: UCLA Center for Environmental Statistics (CES);
Editor: Journal of Multivariate Analysis, Journal of Statistical Software;