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  1. Das R im Kreis hat vor allem einen Werbeeffekt: Es signalisiert, dass ein förmlicher Markenschutzbesteht – und schreckt hierdurch unter Umständen auch Nachahmer und Trittbrettfahrer ab. Wichtig ist, dass das ® immer hinter dem vollständigen Zeichen, so wie es im Markenregister eingetragen ist, angebracht wird.

  2. In addition to the manuals, FAQs, the R Journal and its predecessor R News, the following sites may be of interest to R users: Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of RR-patched” and “R-devel”, updated daily. CRAN has a growing list of contributed documentation in a variety of languages.

  3. R Help on the Internet. There are internet search sites that are specialized for R searches, including search.r-project.org (which is the site used by RSiteSearch) and Rseek.org. It is also possible to use a general search site like Google, by qualifying the search with “R” or the name of an R package (or both). It can be particularly ...

  4. This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos ...

  5. R programming tutorial with everything you need to know to start coding in RStats and RStudio. All the basics and fundamentals for non-coders and beginners i...

    • 50 Min.
    • 701K
    • Dynamic Data Script
  6. 24. Apr. 2024 · R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information.

  7. R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer. However, after more than 25 years of development ...

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