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And the huge variety of presentation tools such as ggplot2, Rmarkdown, and Shiny still makes R a very attractive choice. Tight integration with Rcpp also makes
by cluoma 9y ago
And the huge variety of presentation tools such as ggplot2, Rmarkdown, and Shiny still makes R a very attractive choice.
Tight integration with Rcpp also makes it very easy to speed up calculations when performance becomes an issue.
- type0 9y agoFor ggplot2 there is plotnine https://github.com/has2k1/plotnine https://github.com/has2k1/plotnine (disscussion https://news.ycombinator.com/item?id=14430447 https://news.ycombinator.com/item?id=14430447) Also Python is not a "statistician" language so the adoption there is very slow.
- deskamess 9y agoFor me Rmarkdown is such a win for R. Web deployment, especially the web servers to host shiny apps is a weak point for R (Linux specific, and really not many options even in the Linux arena). Then again, perhaps notebooks are a better way to handle online data exploration.