You will need to do this each time.
sea_stats_training
scavenger
4.4.1
6
or enough to ensure the job won’t be killed during today’s lesson4
6000M
should be more than enoughScreenshot - selecting RStudio Server from OnDemand dropdown | Screenshot - options for new RStudio Server session |
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You will only need to do this once. There is a directory on a shared space that all workshop participants have access to, /project/sea_stats_training/bayes2025
. This directory has all the example data, worksheets, pre-fit model objects, and software needed for the workshop including all R packages and an installation of Stan software. You need to copy this directory from the shared space into your home directory as follows:
In RStudio Server, select the “Terminal” tab on the left pane. Type the following command into the terminal and press enter:
cp -r /project/sea_stats_training/bayes2025 ~/bayes2025
Note: it will take 10-15 minutes to copy all the files, 1.4GB in total.
This will create a folder in your home directory on SCINet called bayes2025
that has everything you need in it.
Once the files have copied, open the bayes2025
folder in the Files tab in RStudio Server. Click the file bayes2025.Rproj
to open the bayes2025 RStudio project. This will open the project and automatically configure RStudio to be able to access the installed R packages and Stan software. It will also point you to the folder that contains all the worksheets you will need to participate in the lessons. You are good to go!
Screenshot - entering copy command into RStudio Server terminal | Screenshot - opening RStudio project from Files tab |
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