jamovi VS The R Commander

Compare jamovi VS The R Commander and see what are their differences

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jamovi

jamovi is a free and open statistical platform which is intuitive to use, and can provide the...

The R Commander

A basic-statistics GUI for the ...

Landing page //
2022-11-03

Landing page //
2022-04-03

jamovi

Website: jamovi.org
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The R Commander

Website: socialsciences.mcmaster.ca
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jamovi features and specs

User-friendly interface
jamovi features a clean, intuitive interface that is easy to navigate, making it accessible for users with varying levels of statistical expertise.
Free and open-source
jamovi is completely free and open-source, which allows users to download, use, and modify the software without any cost.
Integration with R
jamovi has built-in support for R, enabling users to run R scripts and use R packages directly within the software, providing additional flexibility and functionality.
Regular updates
The development team frequently releases updates to improve functionality, fix bugs, and add new features, ensuring that the software stays current and reliable.
Comprehensive features
jamovi offers a wide range of statistical analyses and graphical options, catering to both basic and advanced user needs.

Possible disadvantages of jamovi

Limited advanced features
While jamovi covers most basic and intermediate statistical methods, it may lack some of the more advanced statistical techniques found in other specialized software.
Performance issues
Occasionally, users may experience performance issues, such as slow processing times or software crashes, especially with very large datasets.
Learning curve for R integration
Although integration with R is a pro, it can also be a con, as it may require additional learning for users who are not already familiar with R programming.
Less established than competitors
Compared to other statistical software like SPSS or SAS, jamovi is relatively new and may not have as extensive a user base or as many community resources.
Limited customer support
As an open-source project, jamovi relies primarily on community support and forums, which may not be as responsive or comprehensive as dedicated customer support services.

The R Commander features and specs

User-Friendly Interface
The R Commander provides a graphical user interface, which is a significant advantage for those who are not comfortable using R's command-line interface. It makes various statistical analyses more accessible.
Extensive Functionality
The R Commander includes a wide range of statistical methods and tools, making it a versatile option for conducting various types of analyses without needing to install additional packages.
Educational Tool
It serves as an excellent educational resource for teaching statistics. Its GUI helps students visualize the steps involved in data analysis, reinforcing their learning.
Customizable
Users can extend its functionality by writing new plug-ins or adding new menus, providing flexibility to tailor the software to specific needs.
Integration with R
Being built on top of R, it allows for a seamless transition from GUI-based analysis to more complex scripts in R, enhancing learning and analysis capabilities.

Possible disadvantages of The R Commander

Limited to R
While R Commander is powerful, it is restricted to R's environment, which might be limiting for users who prefer or require integration with other software tools or languages.
Learning Curve
Although it is simpler than the command-line interface, there is still a learning curve associated with understanding how to navigate and utilize all of its features effectively.
Resource-Intensive
Running a GUI on top of R can be resource-intensive, potentially slowing down performance on computers with limited processing power.
Less Flexibility than Command-Line
The R Commander's GUI provides convenience but at the expense of the full flexibility and power that comes with command-line scripting in R.
Basic Visualizations
While it provides basic plots and graphs, R Commander’s visualization capabilities may not be as advanced or customizable as those created using dedicated R packages like ggplot2.

Analysis of jamovi

Overall verdict

Jamovi is considered good for users who need a free, intuitive, and flexible tool for statistical analysis. It is particularly appreciated for its user-friendly design and ability to meet the needs of a wide range of users, from students to researchers.

Why this product is good

Jamovi is an open-source statistical software that is user-friendly and designed for ease of use, making it accessible to both beginners and advanced users. It provides an intuitive interface and integrates seamlessly with R, allowing users to extend its capabilities. Jamovi includes a variety of statistical analyses and graphical representations, making it suitable for educational purposes and professional use in various fields.

Recommended for

Students learning statistics
Researchers conducting data analysis
Educators teaching statistical methods
Anyone looking for a free alternative to commercial statistical software

jamovi videos

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jamovi for Data Analysis - Full Tutorial

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Category Popularity

0-100% (relative to jamovi and The R Commander)

jamovi

The R Commander

Business & Commerce

89 89%

Business & Commerce

11% 11

Data Science And Machine Learning

73 73%

Data Science And Machine Learning

27% 27

Technical Computing

100 100%

Technical Computing

0% 0

Text Editors

0 0%

Text Editors

100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare jamovi and The R Commander

jamovi Reviews

Bob Muenchen

· Retired statistician at University of Tennessee · 11 months ago

Beautiful User Interface

jamovi has one of the most attractive user interfaces. Even the colors used for window-dressing match the default colors for its graphs. Like JASP, its dialogs provide instant results as each item is checked off. That immediate feedback feels great! Corrections to data values are also immediately reflected in each piece of output that would be affected. However, this also means that you can't do one step, restructure the data, then do another since jamovi requires each step to have the same data structure. SPSS, Minitab, BlueSky Statistics, and JMP can all do such common data-wrangling tasks. So, if you restructure your data a lot, you'll need to do that with another tool and read the data in separately for each structure. jamovi's menus start out very sparse and you extend them by downloading needed parts later. This is the opposite of similar tools like SPSS, Minitab, and BlueSky Statistics, which show all their capabilities upon installation. That makes it good for beginners who avoid the others' complex menus. Regarding analytic methods, jamovi has the most popular statistics. The main topics it lacks are quality control and machine learning/AI. Also, it cannot save models for making predictions on a different dataset.

🏁 Competitors: JASP, BlueSky Statistics, IBM SPSS Statistics, Minitab

👍 Pros: Ui is very attractive|Feedbacks

👎 Cons: Limited features

Free statistics software for Macintosh computers (Macs)

Other notes. Developer Jonathon Love pointed us to the Jamovi library of extra procedures. A long, well-illustrated Jamovi blog post also goes over the fine graphics capabilities within Jamovi, which PSPP can only dream of. In our run-throughs, the numbers were identical to SPSS, PSPP, and JASP.

Source: www.macstats.org

10 Best Free and Open Source Statistical Analysis Software

Jamovi is a free and open source statistical software built on ‘R' language. Intuitive interface, quality spreadsheet, optimized analysis are the key reasons for its popularity. It performs all statistical tests with reliability and competence.

Source: www.goodfirms.co