Microsoft R Open

by Microsoft

Microsoft R Open is an enhanced distribution of the open source R language, providing stability, speed, and increased accuracy for statistical data analysis.

Operating system: Windows

Publisher: Microsoft

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Microsoft R Open (MRO) is an enhanced distribution of the open-source programming language R that includes powerful features and is optimized to run large scale statistical analysis. MRO is a free, open source package that provides the R language with improved performance, enhanced security, and support for multiple platforms.

MRO is the best choice for statistical computing and machine learning. It provides the same open source R language, optimized for performance, enhanced security and support for multiple platforms.

Features of Microsoft R Open

1. Enhanced Performance: MRO includes patches and performance enhancements that enable R to run faster and more efficiently.

2. Open Source: MRO is open source, meaning that its source code is freely available for anyone to use, modify and share.

3. Multi-Platform Support: MRO supports multiple operating systems, including Windows, Linux and Mac OS X.

4. Enhanced Security: MRO includes several security enhancements that protect against malicious code and provide a secure environment for running R scripts.

5. Comprehensive Packages: MRO has an extensive library of packages, including data analysis, plotting, machine learning and more.

6. Collaboration Tools: MRO includes several tools to facilitate collaboration with other R users.

7. Easy to Install: MRO is easy to install and configure.

8. Low Cost: MRO is a free and open source software package.

9. Professional Support: MRO provides professional support and regular updates to ensure that your applications remain secure and up-to-date.

10. Comprehensive Documentation: MRO includes comprehensive documentation that makes it easy to get started with R.

11. Customizable Environment: MRO allows you to customize your environment and extend the functionality of R.

12. Comprehensive Community: MRO has an extensive and active community of users who can provide valuable help and advice.
Microsoft R Open provides greater speed and accuracy in statistical computations.
Microsoft R Open requires the following software:

• Microsoft Windows 10 (or higher)
• Microsoft R Client 3.5.2 (or higher)
• Microsoft SQL Server 2012 (or higher)
• Microsoft Visual Studio 2015 (or higher)
• A supported web browser (Internet Explorer, Chrome, Firefox, Edge)
• .NET Framework 4.5 (or higher)
• Java 1.8 (or higher)
• Azure SDK 2.4 (or higher)
• Python 2.7 (or higher)
• R 3.4.4 (or higher)

Enhanced performance due to its multi-threaded math libraries.
Pre-packaged with additional features for big data.
Open-source and fully compatible with R scripts.

Limited support for advanced statistical methods.
Difficult for beginners to learn and understand.
Updates are not released frequently.
image/svg+xmlBotttsPablo Stanley Körner Brodie W********a
Microsoft R Open is a powerful statistical programming language which can be used to analyze large datasets and visualize results. It is a great tool for data scientists and statisticians. I have found the software is quite user friendly and straightforward to use. It is also extremely fast, as it is based on a multi-threaded implementation of the R language. The software also supports a wide range of packages and libraries which makes it able to perform a variety of tasks. The support documentation is clear and helpful. It has a great community of users that are willing to help out with any questions. Overall, Microsoft R Open is an excellent piece of software for conducting statistical analysis.
image/svg+xmlBotttsPablo Stanley Körner Kyle Gysbers
I recently started using Microsoft R Open and I'm very pleased with the performance. It is a great choice for data scientists working with big datasets. The software is fast and reliable for predictive modelling. I find it to be very user friendly and intuitive. The installation process is also straightforward.
image/svg+xmlBotttsPablo Stanley Körner Robert Z*****k
Microsoft R Open is a great open-source solution for statiscal computations, but the interface could use some imporvement.
image/svg+xmlBotttsPablo Stanley Körner Matthew P*****m
This software is an open-source implementation of the S programming language. It includes enhanced memory management and multi-threaded processing capabilities, making it well-suited for large datasets and high-performance computing. Other features include improved data visualization tools, support for parallel computing, and compatibility with various statistical packages.
image/svg+xmlBotttsPablo Stanley Körner Muhammad
Efficient, seamless integration with other applications.
image/svg+xmlBotttsPablo Stanley Körner Lucas
Fast, reliable, open-source computation.
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