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With the increasing availability of public cloud computing facilities and scientific super computers, there is a great potential for making R available through public or shared resources. This allows researchers to efficiently run code requiring a lot of cycles and memory, or embed R functionality into e.g. systems or web services. However some important security concerns need to be addressed before this can be put in production. The prime use case in the design of R has always been single statistician running R on the local machine through the interactive console.
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