The best Statistical Analyzer alternative to R (programming language) is PSPP, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 50 alternatives to R (programming language) and many of them are Statistical Analyzers so hopefully you can find a suitable replacement. Other interesting Statistical Analyzer alternatives to R (programming language) are JASP, jamovi, Stata and IBM SPSS Statistics.
PSPP is a free software application for analysis of sampled data. It has a graphical user interface and conventional command line interface. It is written in C, uses GNU Scientific Library for its mathematical routines, and plotutils for generating graphs.
JASP is a free and open-source graphical program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.
jamovi is a free and open statistical platform which is intuitive to use, and can provide the latest developments in statistics.
Data Analysis and Statistical Software for Professionals.
Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in pieces, which means you get everything you need in one package.
The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.
Revolution Analytics provide commercial support and software for the open source R - the world's most powerful statistics software.
Minitab is a comprehensive statistical software package designed for analyzing data in Lean Six Sigma and statistics education, offering tools for quality and process improvement, making it ideal for various educational and professional uses.
RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. RKWard tries to combine the power of the R-language with the ease of use of commercial statistical...
GraphPad Prism is a powerful combination of basic biostatistics, curve fitting and scientific graphing in one comprehensive program. More than 100,000 scientists in over 100 countries rely on Prism to analyze, graph and present their scientific data.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.
Number Analytics is an web based statistical software for academics and market research supporting various types of data (SPSS, Excel, CSV, STATA, Minitab, SAS) and platforms (iOS, Android, and Web).
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I think that Number Analytics is good for beginners to R. R need coding and requires significant time to learn. Number Analytics does not need coding so that novices can start to use it right away. However, advanced analysis and graphs are not possible at Number Analytics. It would be great if you start with Number Analytics and learn R step by step.