R vs ReasonML: What are the differences?
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.
R and ReasonML belong to "Languages" category of the tech stack.
ReasonML is an open source tool with 7.92K GitHub stars and 374 GitHub forks. Here's a link to ReasonML's open source repository on GitHub.
According to the StackShare community, R has a broader approval, being mentioned in 188 company stacks & 630 developers stacks; compared to ReasonML, which is listed in 8 company stacks and 7 developer stacks.
What is R?
What is ReasonML?
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What are the cons of using ReasonML?
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What tools integrate with ReasonML?
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)