![]() # bookdown 0.7 cran colorout * 1.2-0 Github (jalvesaq/ ) Once you do these steps, rmate should work on a new terminal window. All of JHPCE’s compute nodes are named computesomething, so we can take advantage of that in the config file. Edit your cluster’s ~/.ssh/config file so the port gets forwarded also when you access a compute node with qrsh.RemoteForward someSecretPortNumber localhost:someSecretPortNumber Edit your laptop’s ~/.ssh/config file so you don’t have to specify the port every time you ssh into the JHPCE cluster:.Mine includes these lines where someSecretPortNumber is replaced by my port number. Edit your cluster’s ~/.bashrc file with the port information.Sadly, I don’t know of a quick and easy way to find a port for you to use :/ There they use ssh -R 8080:localhost:80 for testing. The default one will likely be taken already by another user. Find a port that works for doing the forwarding.In the cluster, install rmate following the instructions at.Setting up rmate takes a bit of work but it’s definitely worth it. Basically, I power up an iTerm2 terminal, log into the cluster, navigate to the directory that contains the files I’m working with, and then open them remotely with rmate. ![]() The command I really like is rmate because it enables me to remotely open a file from the cluster in TextMate, which combined with the evaluate in iTerm2 command makes it easy to work. TextMate will open and show you all the tabs of files you had last opened in that same directory. If you enable the terminal preferences you can now use the mate command in any directory in your laptop. But it’s not beginner friendly, hence the upcoming blog post about using RStudio. # Download Leonardo's bundles (he uses the leo branch)Īs you can see, these bundles help adapt TextMate2 for working with R files of different flavors. It also makes it so that R code inside code chunks will be recognized as such, enabling all the R code shortcuts.Ĭd ~/Library/Application\ Support/TextMate/
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