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Welcome to the Formats,Objects and Operations MCQs Page

Dive deep into the fascinating world of Formats,Objects and Operations with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Formats,Objects and Operations, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Formats,Objects and Operations, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within R Programming.

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Check out the MCQs below to embark on an enriching journey through Formats,Objects and Operations. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of R Programming.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Formats,Objects and Operations. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Formats,Objects and Operations MCQs | Page 6 of 10

Explore more Topics under R Programming

Q51.
What will be the output of the following R code? 
> x <- list(aardvark = 1:5)
> x$a

a.

1 2 3 4 5

b.

2 3 5

c.

1 3 3 5

d.

1 2 3

Discuss
Answer: (a).1 2 3 4 5
Q52.
Which of the following code extracts 1st element of the 2nd element? 
> x <- list(a = list(10, 12, 14), b = c(3.14, 2.81))

a.

x[[c(2, 1)]]

b.

x[[c(1, 2)]]

c.

x[[c(2, 1,1)]]

d.

x[[(2, 2,1)]]

Discuss
Answer: (a).x[[c(2, 1)]]
Q53.
What will be the output of the following R code? 
> x <- list(aardvark = 1:5)
> x[["a", exact = FALSE]]

a.

1 2 3 4 5

b.

2 3 5

c.

1 3 3 5

d.

1 2 3

Discuss
Answer: (a).1 2 3 4 5
Q54.
What will be the output of the following R code? 
> x <- c(1, 2, NA, 4, NA, 5)
> bad <- is.na(x)
> print(bad)

a.

FALSE FALSE FALSE FALSE TRUE FALSE

b.

FALSE TRUE TRUE FALSE TRUE FALSE

c.

FALSE FALSE TRUE FALSE TRUE FALSE

d.

FALSE TRUE TRUE TRUE TRUE FALSE

Discuss
Answer: (c).FALSE FALSE TRUE FALSE TRUE FALSE
Q55.
Which of the following is example of vectorized operation as far as subtraction is concerned? 
> x <- 1:4
> y <- 6:9

a.

x+y

b.

x-y

c.

x/y

d.

x*y

Discuss
Answer: (b).x-y
Q56.
Point out the wrong statement?

a.

Very less operations in R are vectorized

b.

Vectorization allows you to write code that is efficient, concise, and easier to read than in non-vectorized languages

c.

vectorized means that operations occur in parallel in certain R objects

d.

Matrix operations are also vectorized

Discuss
Answer: (a).Very less operations in R are vectorized
Q57.
What will be the output of the following R code? 
> x <- 1:4
> y <- 6:9
> z <- x + y
> z

a.

7 9 11 13

b.

7 9 11 13 14

c.

9 7 11 13

d.

NULL

Discuss
Answer: (a).7 9 11 13
Q58.
What will be the output of the following R code? 
> x <- 1:4
> x > 2

a.

1 2 3 4

b.

FALSE FALSE TRUE TRUE

c.

1 2 3 4 5

d.

5 4 3 1 2 1

Discuss
Answer: (b).FALSE FALSE TRUE TRUE
Q59.
Point out the wrong statement?

a.

Dates are represented by the Date class

b.

Times are represented by the POSIXct or the POSIXlt class

c.

Dates are represented by the DateTime class

d.

Times can be coerced from a character string

Discuss
Answer: (c).Dates are represented by the DateTime class
Q60.
What will be the output of the following R code? 
> x <- 1:4
> y <- 6:9
> x/y

a.

0.1666667 0.2857143 0.4444444

b.

0.1666667 0.2857143 0.3750000 0.4444444

c.

0.2857143 0.3750000 0.4444444

d.

Error

Discuss
Answer: (b).0.1666667 0.2857143 0.3750000 0.4444444
Page 6 of 10

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