R-Project
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
More information and the documentation/download can be found the official r-project web page:
How to get R
Download, Packages
CRAN
Mirrow sites in Germany
- mirrors.softliste.de/cran/ Softliste.de, Berlin
- ftp5.gwdg.de/pub/misc/cran/ GWDG Goettingen
- cran.rakanu.com Rakanu.com, Muenchen </dd></dl>
Help for R, Jonathan Baron's R help page:
http://finzi.psych.upenn.edu/nmz.html
Statistical climate data analysis, practices
Enclosed you find different time series of climate data for analysing and processing.
All time series are equidistant in time. We have chosen different formats (seperated by comma or blank, including missing values or comments) in order to show how to deal with this in 'R'.
The data sets are:
1) mean global temperature (NASA GISS) (trend, internal varibility): GlobTemp_GISS.txt
2) mean global temperature (ensemble mean of IPCC models from 1900-2100) (change in trends, comparison with other data): GlobTemp_IPCC.txt
3) North GRIP (d18O, temporal resolution 20 years (Holocene cooling trend, D/O, LGM, auto-correlation ...): NGrip.txt
4) NAO index (DJF, Hurrel et al.) (~white noise): nao.csv
5) Hurrican numbers in the NOrth-Atlanitc Basin (Poisson distribution, different levels/trends): TC_basin1.5.csv
6) Numbers of Hurricans striking land (Poisson distribution, no trend, but trend dependent on start and end values): TC_landfall.1.5.csv


