R If...Else

R If...Else Statements

Conditions allow R to execute entirely different blocks of code depending on the situation.

This branching logic is fundamental for creating intelligent, dynamic data analysis scripts.


The if Statement

Use the if statement to strictly execute a block of code, provided a condition is TRUE.

The code block must be tightly enclosed inside curly braces {}.


The else if Statement

Use the else if statement to explicitly specify a new condition if the first condition fails.

This allows you to chain massive blocks of logic seamlessly.


The else Statement

Use the else statement to catch anything that was completely missed by the preceding conditions.

It is the ultimate fallback block, executing only if all previous conditions were FALSE!

If...Else Example:

a <- 200
b <- 33

if (b > a) { print("b is greater than a") } else if (a == b) { print("a and b are strictly equal") } else { print("a is significantly greater than b") }


SEO and Control Flow

Perfectly written control flow structures prevent data scripts from breaking during massive imports.

When your scripts handle unexpected data elegantly using else blocks, the system remains incredibly stable!


Exercise 1 of 2

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Which statement is used to execute a block of code strictly as a fallback if all other conditions fail?

Exercise 2 of 2

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What characters are used to enclose the block of code that should be executed?