Update index.md (#33151)
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Randell Dawson
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@ -7,9 +7,7 @@ A function allows you to define a reusable block of code that can be executed ma
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Functions can be named and called repeatedly or can be run anonymously in place (similar to lambda functions in python).
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Developing a full understanding of R functions requires understanding of environments.
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Environments are simply a way to manage objects. An example of environments in action is that you can use a redundant variable
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name within a function, that won't be affected if the larger runtime already has the same variable. Additionally, if a
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function calls a variable which is not defined within the function, it will check the higher level environment for that variable.
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Environments are simply a way to manage objects. An example of environments in action is that you can use a redundant variable name within a function, that won't be affected if the larger runtime already has the same variable. Additionally, (lexical scoping)[https://en.wikipedia.org/wiki/Scope_(computer_science)#Lexical_scoping] is used when a function calls a variable not defined within the function it will check the higher level environment for that variable.
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### Syntax
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