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Merge pull request #96846 from john-par/1614298-clean-up-broken-azure-docs-pr-links-11-21
1614298 clean up broken azure docs pr links 11-21
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articles/hdinsight/r-server/r-server-overview.md

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The Linux edge node of an HDInsight cluster is the landing zone for R-based analysis. Recent versions of HDInsight provide a default installation of RStudio Server on the edge node as a browser-based IDE. Use of RStudio Server as an IDE for the development and execution of R scripts can be considerably more productive than just using the R console.
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Additionally, you can install a desktop IDE and use it to access the cluster through use of a remote MapReduce or Spark compute context. Options include Microsoft’s [R Tools for Visual Studio](https://www.visualstudio.com/features/rtvs-vs.aspx) (RTVS), RStudio, and Walware’s Eclipse-based [StatET](http://www.walware.de/goto/statet).
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Additionally, you can install a desktop IDE and use it to access the cluster through use of a remote MapReduce or Spark compute context. Options include Microsoft’s [R Tools for Visual Studio](https://marketplace.visualstudio.com/items?itemName=MikhailArkhipov007.RTVS2019) (RTVS), RStudio, and Walware’s Eclipse-based [StatET](http://www.walware.de/goto/statet).
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Additionally, you can access the R console on the edge node by typing **R** at the Linux command prompt after connecting via SSH or PuTTY. When using the console interface, it is convenient to run a text editor for R script development in another window, and cut and paste sections of your script into the R console as needed.
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