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 7 of 13

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History and Overview of R Programming Language

02

Basics of R Programming Language

03

Data Types and Dataset Reading

04

Formats,Objects and Operations

05

Scoping Rules and Debugging

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Profiling,Simulation and Data Analysis

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Commands and Packages

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Visualizing Data and Linear Regression

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Distributions and Graphics in R programming

Q61.

In the base graphics system, which function is used to add elements to a plot?

Boxplot()

Text()

Boxplot() or Text()

Treat()

Discuss

Answer: (c).Boxplot() or Text()

Q62.

What are the different types of sorting algorithms available in R language?

Bubble

Selection

Merge

All sorts

Discuss

Answer: (d).All sorts

Q63.

What is the command used to store R objects in a file?

save (x, file=”x.Rdata”)

save (x, file=x.Rdata)

save (x, file=”x.Rdata”);

save (x, file=”x.data”)

Discuss

Answer: (a).save (x, file=”x.Rdata”)

Q64.

___________ can be used for storing the data for long-term.

HDLS

HDFS

HDLSV

HSSLV

Discuss

Answer: (b).HDFS

Q65.

MapReduce jobs submitted from either Oozie, Pig or Hive can be used to encode, improve and sample the data sets from _________ into R.

HDLS

HDFS

HDLSV

HSSLV

Discuss

Answer: (b).HDFS

Q66.

What will be the output of log (-5.8) when executed on R console?

NAN

Error

0.213

Discuss

Answer: (a).NAN

Q67.

How is a Data object represented internally in R language?

unclass (as.time (“2018-12-28″))

unclass (as.dat (“2018-12-28″))

unclass (as.D (2018-12-28))

unclass (as.Date (“2018-12-28″))

Discuss

Answer: (d).unclass (as.Date (“2018-12-28″))

Q68.

Which package in R supports the exploratory analysis of genomic data?

Adegenat

Adegenet

Adegnet

Adezenet

Discuss

Answer: (b).Adegenet

Q69.

__________ can contain heterogeneous inputs.

Matrix

Data Frames

Matrix and Data Frames

Does not exists

Discuss

Answer: (b).Data Frames

Q70.

________ function can be used to add datasets in R provided with the columns in the datasets should be the same.

rbind()

bbind()

jbind()

hbind()

Discuss

Answer: (a).rbind()

Page 7 of 13

Welcome to the Control Structures and Functions MCQs Page

Control Structures and Functions MCQs | Page 7 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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