Nima Hejazi

3 minute read

R is a great, highly flexible language for statistical computing, but it does suffer greatly from performance issues. As I’ve steadily increase my use of R, I quickly became aware that I would have to one day learn to integrate R with a programming language with better performance, the main choice here being C++. To integrate R with C++, the Rcpp framework (and R package) was created, allowing for parts of the R code of a given package or project to be re-written in C++ and easily integrated with R.

Nima Hejazi

4 minute read

Recently, I came across the blogdown R package, a variant of RStudio’s popular bookdown R package, made by Yihui Xie and Amber Thomas. Blogdown allows the user to write blog posts with code chunks, in any of the large variety of languages supported by RMarkdown, allowing for computationally reproducible writing and programming. It also plays well with the new static site engine Hugo. Here, I’m mostly just going to take blogdown for a spin.

Nima Hejazi

2 minute read

Any computational scientist who spends their time writing and using tools or analyzing data has certainly had to spend a great deal of his/her time interacting with a command line interface (as an aside, I at one point spent so much time staring at the command line that I wrote a set of scripts to provide me with comical quotes to break up the monotony of my work – it can be found here).