These instructions make it easy to get everything working right. There are two different approaches (so far) in the answers, one that is simplest to the end user, and one that is simple with regard to operations being performed by my computer. R, RStudio, and R Commander are all powerful open source statistical tools, but they can be a little tricky to install.
RStudio Server shares a great deal of code with the desktop version so the interface will be nearly identical to what youre accustomed to.
INSTALL R STUDIO SERVER FROM MOBAXTERM INSTALL
Formatting of headings, hyperlinks, etc is not the same as when I serve the page locally with hugo.ĮDIT - I did not really define my term 'simplicity'. Install it on your external server then from your desktop (or from any other machine) you can connect to the server in a web browser and use RStudio inside the web browser. Most R commands I do from within Excel are very fast and data-hungry. I could run the whole R remotely, but then it would spawn a network-related problems. If I simply open the static HTML files directly in my browser they showup wonky. ssh, Transfer the needed objects (which can be specified manually) Execute given code on the server and wait for the result.
Searching online I can't find any simple way to do it though. Utilizing hugo R Studio coerces my browser to go to the 127.0.0.1:XXXX location and my local site is previewed before my eyes.Ĭan I serve local sites natively with Ubuntu 18.04? How? I imagine it should be very simple. This is the easiest way I know of previewing static HTML sites. I write the code in R Studio and preview the site utilizing the blogdown::serve_site() command. I use the R Studio IDE to do many things, one of which is to serve local websites utilizing the blogdown package which is a fork of hugo.
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