Appliesto for R

davidpeterh · davidpeterh · commit fd6b11fe0cc2 · 2020-08-11T21:54:00.000-04:00
diff --git a/docs/machine-learning/r/converting-r-code-for-use-in-sql-server.md b/docs/machine-learning/r/converting-r-code-for-use-in-sql-server.md
@@ -12,7 +12,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # Convert R code for execution in SQL Server (In-Database) instances
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 This article provides high-level guidance on how to modify R code to work in SQL Server. 
 
diff --git a/docs/machine-learning/r/creating-multiple-models-using-rxexecby.md b/docs/machine-learning/r/creating-multiple-models-using-rxexecby.md
@@ -12,7 +12,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # Creating multiple models using rxExecBy
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 The **rxExecBy** function in RevoScaleR supports parallel processing of multiple related models. Rather than train one large model based on data from multiple similar entities, a data scientist can quickly create many related models, each using data specific to a single entity. 
 
diff --git a/docs/machine-learning/r/creating-workflows-that-use-r-in-sql-server.md b/docs/machine-learning/r/creating-workflows-that-use-r-in-sql-server.md
@@ -11,7 +11,7 @@ ms.author: davidph
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # Create SSIS and SSRS workflows with R on SQL Server
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 This article explains how to use embedded R and Python script using the language and data science capabilities of SQL Server Machine Learning Services with two important SQL Server features: SQL Server Integration Services (SSIS) and SQL Server Reporting Services SSRS. R and Python libraries in SQL Server provide statistical and predictive functions. SSIS and SSRS provide coordinated ETL transformation and visualizations, respectively. This article explains how to put all of these features together in this workflow pattern:
 
diff --git a/docs/machine-learning/r/data-exploration-and-predictive-modeling-with-r.md b/docs/machine-learning/r/data-exploration-and-predictive-modeling-with-r.md
@@ -12,7 +12,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # Data exploration and predictive modeling with R in SQL Server
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 This article describes improvements to the data science process that are possible through integration with SQL Server.
 
diff --git a/docs/machine-learning/r/how-to-create-a-stored-procedure-using-sqlrutils.md b/docs/machine-learning/r/how-to-create-a-stored-procedure-using-sqlrutils.md
@@ -12,7 +12,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # Create a stored procedure using sqlrutils
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 This article describes the steps for converting your R code to run as a T-SQL stored procedure. For best possible results, your code might need to be modified somewhat, to ensure that all inputs can be parameterized.
 
diff --git a/docs/machine-learning/r/how-to-create-mdx-queries-using-olapr.md b/docs/machine-learning/r/how-to-create-mdx-queries-using-olapr.md
@@ -12,7 +12,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 ---
 # How to create MDX queries in R using olapR
- [!INCLUDE [SQL Server](../../includes/applies-to-version/sqlserver.md)]
+[!INCLUDE [SQL Server 2016 and later ](../../includes/applies-to-version/sqlserver2016.md)]
 
 The [olapR](https://docs.microsoft.com/machine-learning-server/r-reference/olapr/olapr) package supports MDX queries against cubes hosted in SQL Server Analysis Services. You can build a query against an existing cube, explore dimensions and other cube objects, and paste in existing MDX queries to retrieve data.
 
