R and statistics
| Applications:
Simple principles for storing the data in a logical structure should be followed before any data-analysis. Introductory pages to R. Regression (statistische dataverwerking)Examples are worked out. An attempt is made to follow a simple step-by-step approach without magic or confusion by writing several tasks into one condense statement. ANOVA (proeftechniek) Examples are worked out. Similar approach as above. Frequency analysis for hydrology
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| R is
a free software in the GNU-concept. In this case this means
that a community of statisticians maintain the code and continuously
update the programme on a voluntary basis. The programme is
not easy but is extremely flexible
(statisticians can write and adjust to fit their own specific
wishes); adequate for professional statistics and follows the trends
in modern statistics. Matrix calculations are possible. Bugs are
fixed immediately after discovery. The approach is strictly object
oriented (Scheme inspired): everthing is an object: data, matrices,
results, functions etc with "properties" and "methods" and is
classified in "classes" . Programming of own functions and
procedures is possible.
R is similar to the commercially available S-plus. Last programme has a better user-interface and graphing, but these features come with a price-tag as in other professional packages. In terms of statistical capabilities R is often more advanced as statisticians can write their own analysis methods and distribute it freely to colleagues. Where to find the software?
More documentation (useful for further study and standard statistical analysis):
Example of libraries
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Reacties op de inhoud: GuidoWyseure Faculteit Landbouwkundige en toegepaste biologische wetenschappen
Laatste wijziging: 10 May 2005
URL: http://www.biw.kuleuven.be/vakken/