What is the primary use of a name prefix in a function?

A name prefix in a function primarily specifies variables that start with a particular string. This feature is especially useful when dealing with datasets containing multiple variables, as it allows for targeted selection of those variables that share a common naming pattern. By using a name prefix, users can apply functions or operations only to a subset of variables without altering or referencing unrelated variables, enhancing efficiency and reducing the chance of errors in data processing.

This approach is valuable when working with large datasets or when variables are systematically created (e.g., during a repeated measurement study where variables are named using a consistent pattern). For instance, if you have variables named "sales_Q1", "sales_Q2", "sales_Q3", using "sales_" as a name prefix would allow you to select all sales-related variables easily without the need to list each one explicitly.

While wildcard searches and limiting data processing may sound related, they do not accurately capture the functionality of a name prefix in this context. Wildcard searches involve broader search capabilities beyond just prefix matching, and limiting data processing to a specific range pertains to numeric limitations, neither of which directly aligns with the primary use of a name prefix. Additionally, renaming variables does not take place through a name prefix; renaming is a separate