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.

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

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Q21.

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

apply()

lapply()

sapply()

mapply()

Discuss

Answer: (a).apply()

Q22.

Point out the wrong statement?

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

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

lapply() does not always returns a list

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.

apply()

lapply()

sapply()

mapply()

Discuss

Answer: (c).sapply()

Q24.

Which of the following is multivariate version of lapply?

apply()

lapply()

sapply()

mapply()

Discuss

Answer: (d).mapply()

Q25.

Point out the correct statement?

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

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

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

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q26.

________ applies a function over the margins of an array.

apply()

lapply()

tapply()

mapply()

Discuss

Answer: (a).apply()

Q27.

_______ is used to apply a function over subsets of a vector.

apply()

lapply()

tapply()

mapply()

Discuss

Answer: (c).tapply()

Q28.

lappy functions takes _________ arguments in R language.

two

three

four

five

Discuss

Answer: (c).four

Q29.

Body of lapply function is?

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

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

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

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
[1] 3
$b
[1] 0.1322028

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

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

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

Discuss

Answer: (a).$a
[1] 3
$b
[1] 0.1322028

Page 3 of 6

Welcome to the Scoping Rules and Debugging MCQs Page

Scoping Rules and Debugging MCQs | Page 3 of 6

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

Control Structures and Functions

Profiling,Simulation and Data Analysis

Commands and Packages

Visualizing Data and Linear Regression

Distributions and Graphics in R programming

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