Before you start, enter the following code:

`data <- mtcars`

Solutions are available here.

**Exercise 1**

Use logical operators to output only those rows of `data`

where column `mpg`

is between 15 and 20 (excluding 15 and 20).

**Exercise 2**

Use logical operators to output only those rows of `data`

where column `cyl`

is equal to 6 and column `am`

is not 0.

**Exercise 3**

Use logical operators to output only those rows of `data`

where column `gear`

or `carb`

has the value 4.

**Exercise 4**

Use logical operators to output only the even rows of `data`

.

**Exercise 5**

Use logical operators and change every fourth element in column `mpg`

to 0.

**Exercise 6**

Output only those rows of `data`

where columns `vs`

and `am`

have the same value 1, solve this without using `==`

operator.

**Exercise 7**

`(TRUE + TRUE) * FALSE`

, what does this expression evaluate to and why?

**Exercise 8**

Output only those rows of `data`

where at least `vs`

or `am`

have the value 1, solve this without using `==`

or `!=`

.

**Exercise 9**

Explain the difference between `|`

, `||`

, `&`

and `&&`

.

**Exercise 10**

Change all values that are 0 in the column `am`

in `data`

to 2.

**Exercise 11**

Add 2 to every element in the column `vs`

without using numbers.

**Exercise 12**

Output only those rows of `data`

where `vs`

and `am`

have different values, solve this without using `==`

or `!=`

.

**What's next:**

- Explore all our (>1000) R exercises
- Find an R course using our R Course Finder directory
- Subscribe to receive weekly updates and bonus sets by email
- Share with your friends and colleagues using the buttons below

john says

the answer to question 12 is wrong. It only produces true if one argument in the xor() equates to 1, and the other to 0. It returns false for the case where one argument is 2 and another is 1, which goes against what the question is asking.

Kung Fury says

Good point. We are changing the data in previous exercises so it’s good to reload original data before solving this one. (write and run “data <- mtcars" before writing the argument)

Sergio says

I am not clear on Q6.

Why does that solution work?

Also, what does data[data$am, ] and data[data$am] mean?

JMS says

0=FALSE

1 or above =TRUE

so

if data$am is greater then 0, its true

if data$vs is greater then 0, its true.

TRUE & TRUE results in TRUE