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Introduction
Creating functions
If statements
14. else if statements
Summary

## Instruction

Great! Sometimes, you may need to consider more than just two conditions and execute a specific set of instructions for each case.

For example, let's say you've stored the age (an integer) of people in a variable named years and now want to categorize each person based on their age group:

• young – years 0–24
• adult – years 25–64
• senior – years 65+

In R, we can do that with multiple if statements:

if (years >= 0 & years <= 24) {
print("young")
} else if (25 <= years & years <= 64) {
print("senior")
What's happening in this code? We've introduced the else if keyword. First, R checks if the given age is between 0 and 24. If it is, R prints "young"; if it isn't, we proceed to check if the age is between 25 and 64. The else clause gets executed only when all other conditions fail.
Now you try! Write a function named salary_category() that takes one argument (salary) and, based on its value, returns the proper category (string):
• "low" if the average salary is less than or equal to 2500.
• "medium" if the average salary is greater than 2500 but less than or equal to 4000.
• "high" if the average salary is greater than 4000.