Welcome to the Commands and Packages MCQs Page

Dive deep into the fascinating world of Commands and Packages with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Commands and Packages, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Commands and Packages, 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 Commands and Packages. 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 Commands and Packages. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Commands and Packages MCQs | Page 3 of 8

Explore more Topics under R Programming

01

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

Control Structures and Functions

06

Scoping Rules and Debugging

07

Profiling,Simulation and Data Analysis

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Distributions and Graphics in R programming

Q21.

Which of the following will reverse the order of values in x?

rev(x)

max(x, na.rm=TRUE)

all(x)

x%in%y

Discuss

Answer: (a).rev(x)

Q22.

Which of the following finds row sums for each level of a grouping variable?

rowSums (x, na.rm = FALSE, dims = 1)

colMeans(x, na.rm = FALSE, dims = 1)

rowMeans(x, na.rm = FALSE, dims = 1)

rowsum(x, group, reorder = TRUE, …)

Discuss

Answer: (c).rowMeans(x, na.rm = FALSE, dims = 1)

Q23.

Which of the following statement applies the function (FUN) to either rows (1) or columns (2) on object X?

apply(x,1,min)

apply(x,2,max)

col.max(x)

apply(X, MARGIN, FUN, …)

Discuss

Answer: (d).apply(X, MARGIN, FUN, …)

Q24.

Which of the following statement finds the maximum for each column?

apply(x,2,max)

col.max(x)

which.min(x)

which.max(x)

Discuss

Answer: (a).apply(x,2,max)

Q25.

Which of the following statement tells the row with the minimum value for every column?

which.min(x)

which.max(x)

z=apply(x,1,which.min)

z=apply(1,1,which.max)

Discuss

Answer: (a).which.min(x)

Q26.

Which of the following may be used for linear regression?

X %*% Y

solve(A)

solve(A,B)

X $*$ Y

Discuss

Answer: (c).solve(A,B)

Q27.

Which of the following sets the size of the outer margins for the graph?

par(mfrow=c(nrow,mcol))

par(ask=TRUE)

par(omi=c(0,0,1,0) )

par(ask=False)

Discuss

Answer: (c).par(omi=c(0,0,1,0) )

Q28.

Which of the following function is used for plotting histogram?

hist()

histog()

histg()

histo()

Discuss

Answer: (a).hist()

Q29.

Which of the following will add the title “R language” to the graph?

titleAdd( “R language”)

title( “R language”)

titleBar( “R language”)

var(x, na.rm=TRUE)

Discuss

Answer: (b).title( “R language”)

Q30.

______ let’s you perform SQL queries on your R data frames.

sqldf

plyr

forecast

daply

Discuss

Answer: (b).plyr

Page 3 of 8

Welcome to the Commands and Packages MCQs Page

Commands and Packages MCQs | Page 3 of 8

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

Scoping Rules and Debugging

Profiling,Simulation and Data Analysis

Visualizing Data and Linear Regression

Distributions and Graphics in R programming

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