adplus-dvertising

Welcome to the Scoping Rules and Debugging MCQs Page

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

frame-decoration

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

Scoping Rules and Debugging MCQs | Page 3 of 6

Explore more Topics under R Programming

Q21.
________ loop over a list and evaluate a function on each element.

a.

apply()

b.

lapply()

c.

sapply()

d.

mapply()

Discuss
Answer: (a).apply()
Q22.
Point out the wrong statement?

a.

Multi-line expressions with curly braces are just not that easy to sort through when working on the command line

b.

lappy() loops over a list, iterating over each element in that list

c.

lapply() does not always returns a list

d.

You cannot use lapply() to evaluate a function multiple times each with a different argument

Discuss
Answer: (c).lapply() does not always returns a list
Q23.
__________ function is same as lapply in R.

a.

apply()

b.

lapply()

c.

sapply()

d.

mapply()

Discuss
Answer: (c).sapply()
Q24.
Which of the following is multivariate version of lapply?

a.

apply()

b.

lapply()

c.

sapply()

d.

mapply()

Discuss
Answer: (d).mapply()
Q25.
Point out the correct statement?

a.

lapply() takes elements of the list and passes them as the first argument of the function you are applying

b.

You can use lapply() to evaluate a function multiple times each with a different argument

c.

Functions that you pass to lapply() may have other arguments

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q26.
________ applies a function over the margins of an array.

a.

apply()

b.

lapply()

c.

tapply()

d.

mapply()

Discuss
Answer: (a).apply()
Q27.
_______ is used to apply a function over subsets of a vector.

a.

apply()

b.

lapply()

c.

tapply()

d.

mapply()

Discuss
Answer: (c).tapply()
Q28.
lappy functions takes _________ arguments in R language.

a.

two

b.

three

c.

four

d.

five

Discuss
Answer: (c).four
Q29.
Body of lapply function is?

a.

function (X, FUN, ...)
{
FUN <- match.fun(FUN)
if (!is.vector(X) || is.object(X))
X <- as.list(X)
.Internal(lapply(X, FUN))
}

b.

function (X, FUN, ...)
{
FUN <- match.fun(FUN)
if (!is.vector(X) | is.object(X))
X <- as.list(X)
.Internal(lapply(X, FUN))
}

c.

function (X, FUN, ...)
{
FUN <- match.fun(FUN)
if (is.vector(X) || is.object(X))
X <- as.list(X)
.Internal(lapply(X, FUN))
}

d.

function (X, FUN, ...)
{
FUN <- match.fun(FUN)
if (is.vector(X) || is.object(X))
}

Discuss
Answer: (a).function (X, FUN, ...)
{
FUN <- match.fun(FUN)
if (!is.vector(X) || is.object(X))
X <- as.list(X)
.Internal(lapply(X, FUN))
}
Q30.
What will be the output of the following R code? 
> x <- list(a = 1:5, b = rnorm(10))
> lapply(x, mean)

a.

$a
[1] 3
$b
[1] 0.1322028

b.

$a
[1] 4
$b
[1] 0.1322028

c.

$a
[1] 5
$b
[1] 0.1322028

d.

$a
[2] 5
$b
[1] 3

Discuss
Answer: (a).$a
[1] 3
$b
[1] 0.1322028
Page 3 of 6

Suggested Topics

Are you eager to expand your knowledge beyond R Programming? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Systems Analysis and Design Methods

Get familiar with the process of designing and improving business systems with our...

Big Data Computing

Enhance your understanding of Big Data Computing with our comprehensive MCQs. Explore...

Internet of Things (IoT)

Discover how devices communicate with each other in the smart world with our IoT...

PHP

Venture into server-side scripting with our PHP MCQs. Cover everything from syntax...

Java Programming

Level up your coding skills with our Java Programming MCQs. From object-oriented...

Compiler Design

Unravel the process of translating source code into executable programs with our...

Discrete Mathematics

Refine your mathematical skills essential for computer science with our Discrete...

Cloud Computing

Stay on top of the biggest trend in IT with our Cloud Computing MCQs. These questions...

Reverse Engineering

Strengthen your understanding of Reverse Engineering with our curated set of MCQs....