R (link to website)

• R is a language and environment for statistical computing and graphics
• R is free
• R is open-source
• R can be easily extended via user written packages
• As of 2016-09-15, there are 9173 packages
• Considerable support in the following areas (task views):
  • Chemometrics and Computational Physics
  • Clinical Trial Design, Monitoring, and Analysis
  • Cluster Analysis & Finite Mixture Models
  • Differential Equations
  • Probability Distributions
  • Econometrics
  • Analysis of Ecological and Environmental Data
  • Design of Experiments (DoE) & Analysis of Experimental Data
  • Empirical Finance
  • Statistical Genetics
  • Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization
  • High-Performance and Parallel Computing with R
  • Machine Learning & Statistical Learning
  • Medical Image Analysis
  • Meta-Analysis
  • Multivariate Statistics
  • Natural Language Processing
  • Numerical Mathematics
  • Official Statistics & Survey Methodology
  • Optimization and Mathematical Programming
  • Analysis of Pharmacokinetic Data
  • Phylogenetics, Especially Comparative Methods
  • Psychometric Models and Methods
  • Reproducible Research
  • Robust Statistical Methods
  • Statistics for the Social Sciences
  • Analysis of Spatial Data
  • Handling and Analyzing Spatio-Temporal Data
  • Survival Analysis
  • Time Series Analysis
  • Web Technologies and Services
  • gRaphical Models in R