Comparison operators help you check if values are equal, bigger, smaller, or different. This lets your program make decisions.
Checking if a number is bigger than another to decide what to do next.
Finding out if two words are the same in a list.
Seeing if a value is not equal to a certain number before continuing.
Comparing dates to find which one comes first.
Filtering data to keep only items that meet a condition.
Syntax
R Programming
x == y # equals
x != y # not equals
x > y # greater than
x < y # less than
x >= y # greater than or equal
x <= y # less than or equal
Use double equals == to check if two values are the same.
Use != to check if two values are different.
Examples
Checks if 5 is equal to 5. Result is TRUE.
R Programming
5 == 5
Checks if "apple" is not equal to "orange". Result is TRUE.
R Programming
"apple" != "orange"
Checks if 10 is greater than 7. Result is TRUE.
R Programming
10 > 7
Checks if 3 is less than or equal to 2. Result is FALSE.
R Programming
3 <= 2
Sample Program
This program compares two numbers using different comparison operators and prints TRUE or FALSE for each check.
R Programming
a <- 8
b <- 10print(a == b) # Are a and b equal?print(a != b) # Are a and b different?print(a > b) # Is a greater than b?print(a < b) # Is a less than b?print(a >= 8) # Is a greater or equal to 8?print(b <= 10) # Is b less or equal to 10?
OutputSuccess
Important Notes
Comparison operators return TRUE or FALSE, which are logical values in R.
Use these operators inside if statements to control program flow.
Summary
Comparison operators compare two values and return TRUE or FALSE.
Use == for equality and != for inequality.
Other operators check if one value is bigger, smaller, or equal to another.
Practice
(1/5)
1. Which of the following comparison operators in R checks if two values are equal?
easy
A. !=
B. =
C. <>
D. ==
Solution
Step 1: Understand equality operator in R
In R, the operator to check if two values are equal is ==.
Step 2: Differentiate from other operators
= is for assignment, != means not equal, and <> is not valid in R.
Final Answer:
== -> Option D
Quick Check:
Equality operator = == [OK]
Hint: Use double equals (==) to test equality in R [OK]
Common Mistakes:
Using single = instead of ==
Confusing != with equality
Using <> which is invalid in R
2. Which of the following is the correct syntax to check if variable x is NOT equal to 10 in R?
easy
A. x != 10
B. x <> 10
C. x =! 10
D. x !== 10
Solution
Step 1: Identify the not equal operator in R
R uses != to check if two values are not equal.
Step 2: Check syntax correctness
<> and !== are not valid in R, and =! is incorrect syntax.
Final Answer:
x != 10 -> Option A
Quick Check:
Not equal operator = != [OK]
Hint: Use != to check inequality in R [OK]
Common Mistakes:
Using <> which is invalid in R
Writing =! instead of !=
Using !== which is from other languages
3. What is the output of the following R code?
x <- 5 y <- 7 x > y
medium
A. FALSE
B. TRUE
C. 5
D. Error
Solution
Step 1: Compare values of x and y
x is 5 and y is 7, so 5 > 7 is being checked.
Step 2: Evaluate the comparison
Since 5 is not greater than 7, the expression returns FALSE.
Final Answer:
FALSE -> Option A
Quick Check:
5 > 7 = FALSE [OK]
Hint: Compare numbers directly; 5 > 7 is false [OK]
Common Mistakes:
Confusing > with <
Expecting numeric output instead of logical
Thinking it causes an error
4. Identify the error in this R code snippet:
if (x = 10) { print("Yes") }
medium
A. No error, code is correct
B. Missing curly braces
C. Using = instead of ==
D. print() is incorrect function
Solution
Step 1: Check the condition syntax in if statement
In R, to compare values, use ==, not =.
Step 2: Understand the difference between assignment and comparison
= assigns a value, but == tests equality. Using = in if condition causes an error or unexpected behavior.
Final Answer:
Using = instead of == -> Option C
Quick Check:
Comparison needs ==, not = [OK]
Hint: Use == for comparison inside if() [OK]
Common Mistakes:
Using = instead of ==
Ignoring syntax errors from wrong operator
Thinking = works for comparison
5. You want to filter a vector v <- c(3, 5, 7, 9) to keep only values greater than or equal to 5. Which R expression correctly uses comparison operators to do this?
hard
A. v[v => 5]
B. v[v >= 5]
C. v[v = 5]
D. v[v >== 5]
Solution
Step 1: Understand filtering with comparison
To keep values >= 5, use the operator >= inside the indexing brackets.
Step 2: Check syntax correctness
=>, =, and >== are invalid operators in R.
Final Answer:
v[v >= 5] -> Option B
Quick Check:
Use >= for greater or equal in filtering [OK]
Hint: Use >= for greater or equal comparisons [OK]
Common Mistakes:
Using => which is invalid
Using = instead of comparison operator
Combining > and == incorrectly
Recommended
Ready to prove it?
Pass the test and this pattern moves unknownstrongwhile earning +1 Grip toward your certificate.