R

Antergos/Arch Linux setup guide tailored towards data science, R and spatial analysis

This guide reflects my view on how to setup a working Arch Linux system tailored towards data science, R and spatial analysis. If you have suggestions for modifications, please open an issue at https://github.com/pat-s/antergos_setup_guide. Enjoy the power of Linux!

Convert NEWS.md to ASCII NEWS

Maybe you know that for some packages in R there is an entry ‘Package NEWS’ in the help pane of RStudio. However, it is a bit of mistery how to provide this NEWS entry there for maintainers, especially since the recent wide spread use of NEWS.md in R package development.

Why you should use Linux for Data Science and R

The year just started and I would like to start a small series of blog posts that describe my work environment: Which libraries/applications do I use to get my PhD work done and why I use exactly these. I will start by writing down my thoughts on the ‘Windows vs. Unix’ debate. I know this is a hot topic and will probably outlive humanity :wink:. However, I often have to deal with it because all people in my working environment run Windows and I always try to convince them why they could by more productive in our field of work if they would use Linux, especially if they run into troubles and ask me for help (parallelization, server access, automation, etc.). This post only aims to compare both worlds in the field of data science, science and in more detail the usage of R.

Introducing R Package 'oddsratio'

Usually, this calculation is done by setting all predictors to their mean value, predict the response, change the desired predictor to a new value and predict the response again. These actions results in two log odds values, respectively, which are transformed into odds by exponentiating them. Finally, the odds ratio can be calculated from these two odds values.