Welcome to the Control Structures and Functions MCQs Page

Dive deep into the fascinating world of Control Structures and Functions with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Control Structures and Functions, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Control Structures and Functions, 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.

Check out the MCQs below to embark on an enriching journey through Control Structures and Functions. 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 Control Structures and Functions. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Control Structures and Functions MCQs | Page 2 of 13

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02

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03

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04

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Q11.

Which of the following code skips the first 20 iterations?

for(i in 1:100) {
if(i <= 20) {
next
}
}

for(i in 1:100) {
if(i <= 19) {
next
}
}

for(i in 1:100) {
if(i <= 21) {
next
}
}

for(i in 1:10) {
if(i <= 24) {
next
}
}

Discuss

Answer: (a).for(i in 1:100) {
if(i <= 20) {
next
}
}

Q12.

Point out the correct statement?

The only way to exit a repeat loop is to call break

Infinite loops should generally be avoided

Control structures like if, while, and for allow you to control the flow of an R program

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q13.

_________ initiates an infinite loop right from the start.

never

repeat

break

set

Discuss

Answer: (b).repeat

Q14.

Which of the following R code snippet stops loop after 20 iterations?

for(i in 1:100) {
print(i)
if(i > 20) {
break
}
}

for(i in 1:100) {
print(i)
if(i > 19) {
break
}
}

for(i in 1:100) {
print(i)
if(i < 20) {
break
}
}

for(i in 2:100) {
print("i")
if(i > 150) {
break
}
}

Discuss

Answer: (a).for(i in 1:100) {
print(i)
if(i > 20) {
break
}
}

Q15.

Point out the wrong statement?

Statements cannot be grouped together using braces ‘{’ and ‘}’

Computation in R consists of sequentially evaluating statements

Single statements are evaluated when a new line is typed at the end of the syntactically complete statement

next is used to skip an iteration of a loop

Discuss

Answer: (a).Statements cannot be grouped together using braces ‘{’ and ‘}’

Q16.

_______ is used to skip an iteration of a loop.

skip

group

cancel

Discuss

Answer: (a).next

Q17.

Which of the following R code can be used to avoid numeric problems such as taking the logarithm of a negative number?

if( any(x < 0) ) y <- log(1+x) else y <- log(x)

if( any(x <= 0) ) y <- log(1+x) else y <- log(x)

if( any(x >= 0) ) y <- log(1+x) else y <- log(x)

if( any(x >> 0) ) x >- log(1+x) else x <- log(x)

Discuss

Answer: (b).if( any(x <= 0) ) y <- log(1+x) else y <- log(x)

Q18.

R has ________ statements that provide explicit looping.

Discuss

Answer: (b).3

Q19.

The syntax of the repeat loop is _________

rep statement

repeat statement

repeat else

repeat while

Discuss

Answer: (b).repeat statement

Q20.

What will be the output of the following R code?

> x <- 3
> switch(x, 2+2, mean(1:10), rnorm(5))

2.2903605 2.3271663 -0.7060073 1.3622045 -0.2892720

5.5

NULL

Error

Discuss

Answer: (a).2.2903605 2.3271663 -0.7060073 1.3622045 -0.2892720

Page 2 of 13

Welcome to the Control Structures and Functions MCQs Page

Control Structures and Functions MCQs | Page 2 of 13

Explore more Topics under R Programming

History and Overview of R Programming Language

Basics of R Programming Language

Data Types and Dataset Reading

Formats,Objects and Operations

Scoping Rules and Debugging

Profiling,Simulation and Data Analysis

Commands and Packages

Visualizing Data and Linear Regression

Distributions and Graphics in R programming

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