F# vs R: What are the differences?
What is F#? Strongly-typed, functional-first programming language for writing simple code to solve complex problems. F# is a mature, open source, cross-platform, functional-first programming language. It empowers users and organizations to tackle complex computing problems with simple, maintainable and robust code.
What is R? A language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
F# and R belong to "Languages" category of the tech stack.
"Pattern-matching" is the primary reason why developers consider F# over the competitors, whereas "Data analysis " was stated as the key factor in picking R.
F# is an open source tool with 2.08K GitHub stars and 341 GitHub forks. Here's a link to F#'s open source repository on GitHub.
According to the StackShare community, R has a broader approval, being mentioned in 128 company stacks & 95 developers stacks; compared to F#, which is listed in 18 company stacks and 16 developer stacks.
What is F#?
What is R?
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What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.
Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.
Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)