{"action":"opened","issue":{"url":"https://api.github.com/repos/m-orton/R-Scripts/issues/26","repository_url":"https://api.github.com/repos/m-orton/R-Scripts","labels_url":"https://api.github.com/repos/m-orton/R-Scripts/issues/26/labels{/name}","comments_url":"https://api.github.com/repos/m-orton/R-Scripts/issues/26/comments","events_url":"https://api.github.com/repos/m-orton/R-Scripts/issues/26/events","html_url":"https://github.com/m-orton/R-Scripts/issues/26","id":195642692,"number":26,"title":"Using Cloud Computing with RStudio","user":{"login":"m-orton","id":15014796,"avatar_url":"https://avatars.githubusercontent.com/u/15014796?v=3","gravatar_id":"","url":"https://api.github.com/users/m-orton","html_url":"https://github.com/m-orton","followers_url":"https://api.github.com/users/m-orton/followers","following_url":"https://api.github.com/users/m-orton/following{/other_user}","gists_url":"https://api.github.com/users/m-orton/gists{/gist_id}","starred_url":"https://api.github.com/users/m-orton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/m-orton/subscriptions","organizations_url":"https://api.github.com/users/m-orton/orgs","repos_url":"https://api.github.com/users/m-orton/repos","events_url":"https://api.github.com/users/m-orton/events{/privacy}","received_events_url":"https://api.github.com/users/m-orton/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-12-14T20:52:54Z","updated_at":"2016-12-14T20:52:54Z","closed_at":null,"body":"Hi Sally, \r\n\r\nI think I found another way of doing the more computationally demanding taxa in case we cant use the Compute Canada resources. Sort of a back plan I guess.\r\n\r\nBasically it involves using the cloud computing resources offered by Amazon Web Services. Specifically, it would be using one of their services called Elastic Compute Cloud. I found a useful guide with how to integrate this resource with a web browser based version of RStudio:\r\nhttp://strimas.com/r/rstudio-cloud-1/\r\n\r\nI managed to go through the steps and run a free instance of this service. I was able to test some of the script and it seems to work well. The only thing is that in order to use greater amounts of computational power, there is a small cost per hour. It would be something on the order of $1-2 per hour in order to get the computation we would need for the larger taxa I would guess.\r\n\r\nJust thought it might be something to consider.\r\n\r\nBest Regards,\r\nMatt"}}
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