The AstroStat Slog » PSU http://hea-www.harvard.edu/AstroStat/slog Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 09 Sep 2011 17:05:33 +0000 en-US hourly 1 http://wordpress.org/?v=3.4 AstroStatistics Summer School at Penn State ’08 http://hea-www.harvard.edu/AstroStat/slog/2008/astrostatistics-summer-school-at-penn-state-08/ http://hea-www.harvard.edu/AstroStat/slog/2008/astrostatistics-summer-school-at-penn-state-08/#comments Thu, 07 Feb 2008 03:28:43 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/2008/astrostatistics-summer-school-at-penn-state-08/ When: June 9-14, 2008
Where: Penn State
Registration deadline: Apr. 18, 2008 [Previous years, it ended weeks before.]
The summer school website: http://astrostatistics.psu.edu/su08/.
The link to the last year’s slog post is at http://groundtruth.info/AstroStat/slog/2007/astrostat-summer-school-at-psu/

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Learning R http://hea-www.harvard.edu/AstroStat/slog/2007/learning-r/ http://hea-www.harvard.edu/AstroStat/slog/2007/learning-r/#comments Mon, 29 Jan 2007 15:48:07 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/2007/learning-r/ R is a programming language and software for statistical computing and graphics. It is the most popular tool for statisticians and a widely used software for statistical data analysis thanks to the fact that its source code is freely available and it is fairly easy to access from installation to theoretical application.

Most of information about R can be found at R Project including the software itself and many add-on packages. These individually contributed packages serve particular statistical interests of their users. The documentation menu on the website and each packages contain extensive documentations of how-to’s. Some large packages include demos so that following the scripts in a demo makes R learning easy.

For astronomers, the R tutorial from Penn State Summer School for Astronomers will be useful. This tutorial illustrates R with astronomical data sets. Copy-and-pasting command lines will be a good starting point until data structures and programming logics become internalized. R is a fairly simple language to learn if one has a little experience in other programming languages.

A good online tutorial, providing an overview of R, is found from this link. Many user’s interest dependent tutorials available on line. Here are sample images from Taeyoung’s Tutorial (click for pdf).

r_tutorial-0.jpgr_tutorial-1.jpgr_tutorial-2.jpgr_tutorial-3.jpgr_tutorial-4.jpgr_tutorial-5.jpg

Among many available textbooks, the followings provide general R usage. More books are available for specific needs.

Also, Introduction to the R Project for Statistical Computing for use at ITC (click for pdf) by D.G. Rossiter provides a short but extensive overview of R.Unfortunately, FITS reader is not available in R. We hope a skillful astronomer to contribute a FITS reader among other packages.

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