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Tinn-R Alternatives

Tinn-R Alternatives

Tinn-R

Tinn-R, the R code editor
Tinn stands for the recursive acronym 'Tinn is not Notepad'. It is initially written as a small ASCII file editor primarily intended as a better replacement for the default Notepad.exe program distributed with Windows. With versions, it grew to a fairly complete, yet simple and compact code editor.
Tinn is written in Delphi 5 and it runs only under Windows (9X/Me/2000/XP). It is free and distributed under GPL 2.
The specific version (Tinn-R) contains enhancements to allow syntax highlighting of S language (in *.R, *.r, *.Q or *.q files), that is, the language used by the open source statistical software R (http://www.r-project.org ).
It also pops up additional menu and toolbar when it detects Rgui running on the same computer. These addons interact with the R console and allow to submit code in part or in whole and to control R directly.

Tinn-R is a small, free and simple, yet efficient, replacement for the basic code editor provided by Rgui. Latest Tinn-R version and source is available on SourceForge. Note that, starting from version 1.18.x.x, Tinn-R is not compatible anymore with Rgui in MDI mode (only SDI), nor with S-PLUS! Latest compatible version is 1.17.2.4, which is still distributed here.

Best Commercial Tinn-R Alternatives

In our list of best programs, we'll review some different alternatives to Tinn-R. Let's see if your platform is supported by any of them.

Minitab

Minitab

CommercialWindows

Minitab is a statistical software for analyzing data in Lean Six Sigma quality and process improvement projects, and in statistics education.

Displayr

Displayr

CommercialWeb

Displayr is online data science and data analytics software. It was created so smart people could do their own data science: explore, model, visualize and report. One...

Features:

  • Data analytics
  • Data science
Q Research Software

Q Research Software

CommercialWindows

Q is for the interpretation, analysis, visualization and reporting of market research data.

Features:

  • Automated Reporting
  • Crosstabs
  • Predictive Modeling
  • R programming
  • Statistical Testing
  • Text and Sentiment Analytics
  • Data analytics

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