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Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

In R, the **is.integer()**** function** is used to test if a given R object is of type integer or not.

is.integer(x)

Syntax for the is.integer() function in R

This function takes a single parameter value, `x`

, representing any R object to be tested.

This function returns `TRUE`

if the object is an integer. Otherwise, it returns `FALSE`

.

# creating R objectsmy_doubles1 <- c(1.1 , 2.2 , 3.3, 4.4 )my_doubles2 <- c(1 , 2 , 3 , 4 )my_integers <- c(1L , 2L , 3L , 4L )my_random <- c(1L , 2L , 3L , 4 )#implementing the is.integer() functionis.integer(my_doubles1)is.integer(my_doubles2)is.integer(my_integers)is.integer(my_random)

Implementing the is.integer() function

- Lines 2–5: We create different R objects containing numerical values.
- Lines 9–12: We use the
`is.integer()`

function to check to see if each of the objects is an`integer`

type or not.

Note:The object`my_integers`

is the only integer type object among all of them. Interestingly, the object`my_doubles2`

is not an integer object but a double.

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Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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