4 ms·
R is plenty fast. Commonly it's calling C++. When I run a multilevel model, it's C++ I'm waiting on, not R. The tidyverse + ggplot2 + statistical tools + intera
by RA_Fisher 8y ago
R is plenty fast. Commonly it's calling C++. When I run a multilevel model, it's C++ I'm waiting on, not R. The tidyverse + ggplot2 + statistical tools + interactive nature makes working in R really productive.
- hardboiled 8y agoSpeed is not the only computational constraint - the tremendous memory required for very large data sets is often a severe limitation especially within R (and I actually enjoy R). This is Julia's native, in-language approach (no delegating to C/C++): https://juliadb.org/ https://juliadb.org/