Revolution R vs R (programming language)

Struggling to choose between Revolution R and R (programming language)? Both products offer unique advantages, making it a tough decision.

Revolution R is a Development solution with tags like r, data-analysis, data-visualization, statistics.

It boasts features such as Code editor with syntax highlighting, Integrated R interpreter, Data viewer to examine data frames, Visualization tools including charts and graphs, Debugging capabilities, Package management, R help and documentation and pros including Very powerful and full-featured IDE for R, Makes R more accessible for new users, Good for both coding and interactive use, Lots of tools for data analysis and visualization, Cross-platform support.

On the other hand, R (programming language) is a Development product tagged with statistics, data-analysis, data-visualization, scientific-computing, open-source.

Its standout features include Statistical analysis, Data visualization, Data modeling, Machine learning, Graphics, Reporting, and it shines with pros like Open source, Large community support, Extensive package ecosystem, Runs on multiple platforms, Integrates with other languages, Flexible and extensible.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Revolution R

Revolution R

Revolution R is a commercial, cross-platform integrated development environment for the R programming language. It provides tools for data manipulation, visualization, and analysis. Revolution R aims to make R more accessible for new users.

Categories:
r data-analysis data-visualization statistics

Revolution R Features

  1. Code editor with syntax highlighting
  2. Integrated R interpreter
  3. Data viewer to examine data frames
  4. Visualization tools including charts and graphs
  5. Debugging capabilities
  6. Package management
  7. R help and documentation

Pricing

  • Subscription-Based

Pros

Very powerful and full-featured IDE for R

Makes R more accessible for new users

Good for both coding and interactive use

Lots of tools for data analysis and visualization

Cross-platform support

Cons

Not free (paid license required)

Can be complex for brand new R users

Less customizable than RStudio

Requires license renewal/upgrades


R (programming language)

R (programming language)

R is a free, open-source programming language and software environment for statistical analysis, data visualization, and scientific computing. It is widely used by statisticians, data miners, data analysts, and data scientists for developing statistical software and data analysis.

Categories:
statistics data-analysis data-visualization scientific-computing open-source

R (programming language) Features

  1. Statistical analysis
  2. Data visualization
  3. Data modeling
  4. Machine learning
  5. Graphics
  6. Reporting

Pricing

  • Open Source
  • Free

Pros

Open source

Large community support

Extensive package ecosystem

Runs on multiple platforms

Integrates with other languages

Flexible and extensible

Cons

Steep learning curve

Less user-friendly than proprietary statistical software

Can be slow for large datasets

Limited graphical user interface

Version inconsistencies

Poor memory management