Struggling to choose between PAST - PAlaeontological STatistics and Revolution R? Both products offer unique advantages, making it a tough decision.
PAST - PAlaeontological STatistics is a Science & Education solution with tags like paleontology, statistics, data-analysis, ecology, time-series-analysis.
It boasts features such as Statistical analysis of paleontological data, Data manipulation and transformation, Univariate and multivariate statistics, Ecological analysis, Time series analysis, Phylogenetic comparative methods, Geometric morphometrics, Plotting and graphing and pros including Free and open source, User-friendly graphical interface, Wide range of analytical tools, Active development and user community, Runs on Windows, Mac, and Linux.
On the other hand, Revolution R is a Development product tagged with r, data-analysis, data-visualization, statistics.
Its standout features include Code editor with syntax highlighting, Integrated R interpreter, Data viewer to examine data frames, Visualization tools including charts and graphs, Debugging capabilities, Package management, R help and documentation, and it shines with pros like Very powerful and full-featured IDE for R, Makes R more accessible for new users, Good for both coding and interactive use, Lots of tools for data analysis and visualization, Cross-platform support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
PAST is a free, open-source software package for scientific data analysis, with specific tools for paleontologists. It includes functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series analysis, trait analysis, and more.
Revolution R is a commercial, cross-platform integrated development environment for the R programming language. It provides tools for data manipulation, visualization, and analysis. Revolution R aims to make R more accessible for new users.