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 0–24adult – years 25–64senior – 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("adult")
} else
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.
