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RStudio

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TextMate

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RStudio vs TextMate: What are the differences?

  1. User Interface: RStudio provides a comprehensive integrated development environment tailored specifically for R programming, offering features such as syntax highlighting, code completion, and debugging tools. On the other hand, TextMate is a lightweight text editor with minimalistic design, suitable for a variety of languages but lacks the specialized features for R development present in RStudio.

  2. Package Management: RStudio simplifies package management for R by providing an interface to install, update, and manage packages easily. In contrast, TextMate relies on external tools or the terminal for package management, making the process less streamlined for R developers.

  3. Version Control Integration: RStudio comes with built-in support for version control systems like Git, enabling seamless collaboration and tracking changes in projects. TextMate, on the other hand, requires the use of external plugins or tools to integrate with version control systems, making it less convenient for version control tasks.

  4. Shiny App Development: RStudio offers integration with Shiny, a web application framework for R, allowing users to create interactive web apps directly within the IDE. TextMate lacks this functionality, requiring developers to switch between different tools for creating and testing Shiny apps.

  5. R Markdown Integration: RStudio provides robust support for R Markdown, facilitating the creation of dynamic documents that blend code, results, and narrative text seamlessly. TextMate lacks native support for R Markdown, making it less conducive for generating reproducible reports and documents within the editor.

  6. Package Development: RStudio includes features for package development in R, such as functions for creating and checking packages, which streamline the workflow for package developers. In contrast, TextMate lacks specialized tools for package development, making the process more manual and less integrated within the editor.

In Summary, RStudio offers a specialized integrated development environment tailored for R programming with features like package management, version control integration, Shiny app development support, R Markdown integration, and package development tools, which are not as robustly integrated in TextMate.

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Pros of RStudio
Pros of TextMate
  • 3
    Visual editor for R Markdown documents
  • 2
    In-line code execution using blocks
  • 1
    Can be themed
  • 1
    In-line graphing support
  • 1
    Latex support
  • 1
    Sophitiscated statistical packages
  • 1
    Supports Rcpp, python and SQL
  • 17
    Syntax highlighting
  • 5
    Javascript
  • 5
    PHP Developer
  • 4
    Native UI
  • 4
    jQuery developer
  • 3
    Ruby
  • 2
    Bundles
  • 2
    Snippets
  • 2
    MacOS native
  • 2
    Commands
  • 2
    Low Energy Usage
  • 2
    Starts fast
  • 2
    Keyboard shortcuts
  • 2
    Open Source
  • 2
    Clean ui

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What is RStudio?

An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution. Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages.

What is TextMate?

TextMate brings Apple's approach to operating systems into the world of text editors. By bridging UNIX underpinnings and GUI, TextMate cherry-picks the best of both worlds to the benefit of expert scripters and novice users alike.

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What companies use TextMate?
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What are some alternatives to RStudio and TextMate?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Atom
At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
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