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.
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.
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)
• 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)
PROS
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.
Pre-packaged with additional features for big data.
Open-source and fully compatible with R scripts.
CONS
Limited support for advanced statistical methods.
Difficult for beginners to learn and understand.
Updates are not released frequently.
Difficult for beginners to learn and understand.
Updates are not released frequently.
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.
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.
Robert Z*****k
Microsoft R Open is a great open-source solution for statiscal computations, but the interface could use some imporvement.
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.
Muhammad
Efficient, seamless integration with other applications.
Lucas
Fast, reliable, open-source computation.
