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docs/advanced-analytics/r/sql-server-r-services.md

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@@ -39,7 +39,7 @@ SQL Server 2016 is R only. The following table describes the features in SQL Ser
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Developers and analysts often have code running on top of a local SQL Server instance. By adding Machine Learning Services and enabling external script execution, you gain the ability to run R code in SQL Server modalities: wrapping script in stored procedures, storing models in a SQL Server table, or combining T-SQL and R functions in queries.
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The most common approach for in-database analytics is to use [sp_execute_external_script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md), passing Rscript as an input parameter.
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The most common approach for in-database analytics is to use [sp_execute_external_script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md), passing R script as an input parameter.
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Classic client-server interactions are another approach. From any client workstation that has an IDE, you can install [Microsoft R Client](https://docs.microsoft.com/machine-learning-server/r-client/what-is-microsoft-r-client), and then write code that pushes execution (referred to as a *remote compute context*) to data and operations to a remote SQL Server.
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