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fix date format to mm//dd/yyy
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‎docs/advanced-analytics/r-services/architecture-overview-sql-server-r-services.md‎

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title: "Architecture Overview (SQL Server R Services) | Microsoft Docs"
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ms.custom: ""
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ms.date: "2016-05-31"
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ms.date: "05/31/2016"
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ms.prod: "sql-server-2016"
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## See Also
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[R Services Tutorials](../../advanced-analytics/r-services/sql-server-r-services-tutorials.md)
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‎docs/advanced-analytics/r-services/configuration-sql-server-r-services.md‎

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title: "Configuration (SQL Server R Services) | Microsoft Docs"
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ms.date: "2016-05-31"
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ms.date: "05/31/2016"
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ms.prod: "sql-server-2016"
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## See Also
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[Resource Governance for R Services](../../advanced-analytics/r-services/resource-governance-for-r-services.md)
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[Installing and Managing R Packages](../../advanced-analytics/r-services/installing-and-managing-r-packages.md)
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[Installing and Managing R Packages](../../advanced-analytics/r-services/installing-and-managing-r-packages.md)

‎docs/advanced-analytics/r-services/configure-and-manage-advanced-analytics-extensions.md‎

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title: "Configure and Manage Advanced Analytics Extensions | Microsoft Docs"
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ms.custom:
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- "SQL2016_New_Updated"
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ms.date: "2016-11-01"
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ms.date: "11/01/2016"
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## See Also
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[Getting Started with SQL Server R Services](../../advanced-analytics/r-services/getting-started-with-sql-server-r-services.md)
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‎docs/advanced-analytics/r-services/converting-r-code-for-use-in-r-services.md‎

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title: "Converting R Code for Use in R Services | Microsoft Docs"
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ms.date: "2016-05-31"
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ms.date: "05/31/2016"
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‎docs/advanced-analytics/r-services/create-a-local-package-repository-using-minicran.md‎

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title: "Create a Local Package Repository Using miniCRAN | Microsoft Docs"
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ms.date: "2016-05-27"
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ms.date: "05/27/2016"
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## Acknowledgements
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The source for this information is this article by Andre de Vries, who also developed the miniCRAN package. For details and a complete walkthrough, see [How to install R packages on an off-line SQL Server 2016 instance](http://blog.revolutionanalytics.com/2016/05/minicran-sql-server.html)
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The source for this information is this article by Andre de Vries, who also developed the miniCRAN package. For details and a complete walkthrough, see [How to install R packages on an off-line SQL Server 2016 instance](http://blog.revolutionanalytics.com/2016/05/minicran-sql-server.html)

‎docs/advanced-analytics/r-services/create-a-predictive-model-r-in-t-sql-tutorial.md‎

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title: "Create a Predictive Model (R in T-SQL Tutorial) | Microsoft Docs"
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ms.date: "2017-03-10"
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ms.date: "03/10/2017"
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[Predict and Plot from Model](../../advanced-analytics/r-services/predict-and-plot-from-model-r-in-t-sql-tutorial.md)
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‎docs/advanced-analytics/r-services/create-a-standalone-r-server.md‎

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title: "Create a Standalone R Server | Microsoft Docs"
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ms.date: "2017-03-07"
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ms.date: "03/07/2017"
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## See Also
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[Microsoft R Server](../../advanced-analytics/r-services/r-server-standalone.md)
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‎docs/advanced-analytics/r-services/creating-workflows-that-use-r-in-sql-server.md‎

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title: "Creating Workflows that Use R in SQL Server | Microsoft Docs"
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> [!NOTE]
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> Note that the code that supports the R Graphics Device for Reporting Services must be installed on the Reporting Services server, as well as in Visual Studio. Manual compilation and configuration is also required.
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‎docs/advanced-analytics/r-services/data-exploration-and-predictive-modeling-with-r.md‎

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title: "Data Exploration and Predictive Modeling with R | Microsoft Docs"
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[Operationalizing Your R Code](../../advanced-analytics/r-services/operationalizing-your-r-code.md)
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‎docs/advanced-analytics/r-services/data-science-deep-dive-using-the-revoscaler-packages.md‎

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title: "Data Science Deep Dive: Using the RevoScaleR Packages | Microsoft Docs"
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