Revolution R Alternatives

R (programming language)

R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at...

Features:

• Automatic data loading
• Data Mining

RStudio

RStudio™ is an integrated development environment (IDE) for R. RStudio combines an intuitive user interface with powerful coding tools to help you get the most out of R....

Features:

• Code completion
• Embedded debugger
• IDE
• Session management
• Syntax Highlighting

IBM SPSS Statistics

The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration...

JASP

JASP, a low fat alternative to SPSS, a delicious alternative to R. Bayesian statistics made accessible.

Features:

• Bayesian Analysis
• Parametric and NonParametric
• Network Analysis
• No coding required

Minitab

Minitab is a statistical software for analyzing data in Lean Six Sigma quality and process improvement projects, and in statistics education.

Number Analytics

It is a cloud based statistical software for beginners and business users. It works on PC, Mac, iPhone, iPad, and Android. It explains the statistical results like...

Features:

• ANOVA test
• Attribute Rating Method
• Conjoint analysis
• Linear Regression
• Cloud based
• Clustering analysis
• Customer Analytics
• Perceptual mapping
• Portable
• Predictive Modeling
• SPSS comparable results

jamovi

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

Features:

• Import CSV data
• Live updating
• Plugin manager
• Spreadsheets
• Static analysis
• Stats

STATISTICA

STATISTICA is a tried and true analytics platform with more than two decades of history in delivering successful business results for our customers, a global user base...

Features:

• Data Mining
• Predictive Modeling

Develve

Statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment.