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  1. There are more than 50 alternatives to RStudio for a variety of platforms, including Windows, Mac, Linux, Web-based and Self-Hosted apps. The best RStudio alternative is Microsoft Visual Studio. It's not free, so if you're looking for a free alternative, you could try Jupyter or JASP. Other great apps like RStudio are RKWard, PSPP, Livebook and ...

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  2. 24. Nov. 2020 · There are more than 100 alternatives to R (programming language) for a variety of platforms, including Windows, Linux, Mac, Web-based and BSD apps. The best R (programming language) alternative is Python, which is both free and Open Source. Other great apps like R (programming language) are GNU Octave, Julia, MATLAB and Mathematica.

    • Python. Python ist eine interpretierte, interaktive, objektorientierte, erweiterbare Programmiersprache. Sie bietet eine außergewöhnliche Kombination aus Klarheit und Vielseitigkeit und ist frei …
    • GNU Octave. Octave ist ein Computerprogramm zur Durchführung numerischer Berechnungen, das weitgehend mit MATLAB kompatibel ist. Es ist Teil der GNU…
    • MATLAB. Computerumgebung der Unternehmensklasse und Programmiersprache für numerische Berechnungen.
    • Mathematica. Definitives technisches Computersystem, das maschinelles Lernen und neuronale Netze, Datenwissenschaft, Visualisierungen und vieles mehr umfasst.
  3. Top Alternatives to R Language. MATLAB. Using MATLAB, you can analyze data, develop algorithms, and create models and ... Python. Python is a general purpose programming language created by Guido Van Rossum. ... Golang. Go is expressive, concise, clean, and efficient.

  4. $\begingroup$ t depends on what features you rely most on. IDEAs (even without the R plugin) has superior editor, database support, vcs integration, markdown authoring, and excellent support for other data-sience-related languages like bash, python or scala, If you're focus is more R-only workflows, r-notebooks, the embedded table viewer, and R plugin-development, Rstudio excels.

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  6. 1.4.2 Integrated development environments. These environments are more powerful than simple text editors, and are similar to RStudio: Emacs and its extension Emacs Speaks Statistics (all operating systems) RKWard (Linux) Tinn-R (Windows) vim and its extension NVim-R (Linux) A practical introduction to using R for data analysis.