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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!

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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.

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This is the second post in the series about my working environment. It will cover everything that is related to writing something: reports, papers, notes, code.

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I use KDE as my Desktop environment (DE). For those who are unfamiliar what a desktop environment is: Every OS has at least one. Its the application that is responsible for the look of the OS, the customization options and the login screen. However, on Windows and macOS you do not have a choice to choose or change the DE, you simply have to use what Windows or Apple provide you with.

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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.

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Introduction Autofs Notes Introduction At work I usually have to connect to several servers. Some are Windows Servers, some are Linux Servers. On my local Linux machines (running Kubuntu 17.10 at the time writing this) I usually used /etc/fstab entries. However, the fstab way does not mount on boot and always needs manual re-mounting. I was told that there have been times in which automatic mounting during boot using fstab was working but I never managed to get it working although I tried several mount options like _netdev and others.

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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.

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