If you want, you can get something like xming and just get regular RStudio. If that doesn't seem secure enough for you, you can run R from ssh. There are a lot of different tutorials on how to set up R and RStudio Server.
The best way I've found to work with R is using RStudio Server. The virtual machines that I set up with AWS work exactly the same way that the ones I set up with Digital Ocean work. Once you have a VM set up, it's not going to make much of a difference who provides it. The main difference is that Digital Ocean is much cheaper.
Are there ways of fully protecting the data from others than myself (zero-knowledge encryption)?. How would pricing and performance compare to upgrading hardware?. How would I set up a cloud based R session? Can I for example access R as a software application (SaaS), or should I set up a entirely new VM (IaaS)?. Which service would you recommend for statistical computing (with R)? For example, are there any clear difference between the existing services in terms of performance gains, accessibility, and ease of use?. I was wondering if anyone has some experience with cloud computing with R and can provide some insight: From what I gather the three most popular cloud services are AWS, MS Azure and Google Cloud. If I understand correctly, cloud VM services offer computational power scaled to your needs. This is a somewhat costly upgrade, and I came to think of the possibility of running R sessions in a cloud VM instead. Initially, I was considering upgrading from my current 16GB of RAM to 32GB. 
I've recently run into memory shortage when trying to run some analyses in R on my laptop.
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