The second step is that you need to install a so called “Droplet” on your server.In addition, you can also decide to put your server into a European location (my server is in Frankfurt, Germany). If you hesitate to start an account with a company based in the US, I can point you the the very extensive information about adherence to GDPR rules. This means effectively that your experimentation will not even cost you a dime. If you follow the referral link you will receive a credit of $100 over 60 days. First of all, you need an account with the hosting provider Digitalocean.In this short summary, i will describe how you can set up your own analysis environment in the cloud. In the end I have found a solution which combines a pre-configured version of the R-Studio-Server with a very flexible and easy hosting provider. Cloud computing and elastic hosting combined My usage scenario is clearly only a fraction of any standard high-performance-computing so I was looking for a flexible solution which is cheap and scalable. This requirement has become even more important during the pandemic in which I hardly find time to let my computer run 1 hour for an analysis without interacting. Since my usage of R has increased in the meantime also towards more complex scenarios like natural-language-processing or social-network-analysis I was loooking into an analysis environment that is easy to reach and that can run without disturbing my other tasks. Before and during the pandemic I have shiftet my data-analysis completely to R and I have offered in the last semester for the first time a course on “Data Science in Education” in which I have used R intensively with students. In the last two years I have slowly deviated from using GUI-interfaces for statistical analysis towards a more open and transparent approach.
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