Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps:

1. First, load the mtcars data into a DataFrame with a variable named mtcars:

        > data(mtcars)  

2. To obtain the vector range, the range function will return the lower and upper bound of the vector:

        > range(mtcars$mpg)
        Output:
    
        [1] 10.4 33.9

3. Compute the length of the variable:

        > length(mtcars$mpg)
        Output:
    
        [1] 32  

4. To obtain the mean of mpg:

        > mean(mtcars$mpg)
        Output:
    
        [1] 20.09062  

5. To obtain the median of the input vector:

        > median(mtcars$mpg)
        Output:
    
        [1] 19.2

6. To obtain the standard deviation of the input vector:

        > sd(mtcars$mpg)
        Output:
    
        [1] 6.026948  

7. To obtain the variance of the input vector:

        > var(mtcars$mpg)
        Output:
    
        [1] 36.3241 

8. The variance can also be computed with the square of ...