What is LHS? Latin hypercube sampling aims to bring the best of both worlds: the unbiased random sampling of monte carlo simulation; and the even coverage of a grid search over the decision space.
I almost didn’t write this post because the topic of file organisation is incredibly boring for most people. What did drive me to write was a few horrendous project collaborations where the end result was a soup of files where much time was wasted deciphering what file was in use and where it came from.
Location heatmaps in R Let’s use a built-in example within R: location of earthquakes off the island of Fiji.
Rmarkdown was a revelation to me when I was first introduced to it in SEAMS (now Arcadis Gen). I’d used Jupyter notebooks before for Python and loved the live lab notebook feel of them.
When I began learning about how to use Docker I stumbled on an excellent project called Rocker. For anyone with an x86 machine these Rocker images allow them to run R and most of its dependencies in a containerised environment.
Overview Installation DVLA is not yet on CRAN. To install, simply run the following in R.
devtools::install_github("daveyr/DVLA") Usage Documentation on functions and examples can be found on its Github page.
Docker containers for R on 32 bit ARM architectures, including Raspberry Pi