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Welcome to the Formats,Objects and Operations MCQs Page

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

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

Formats,Objects and Operations MCQs | Page 4 of 10

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Q31.
________ opens a connection to a file compressed with gzip.

a.

url

b.

gzfile

c.

bzfile

d.

file

Discuss
Answer: (b).gzfile
Q32.
Connections to text files can be created with the ________ function.

a.

url

b.

gzfile

c.

bzfile

d.

file

Discuss
Answer: (d).file
Q33.
Which of the following R code creates a connection to ‘foo.txt’?

a.

con <- file(“foo.txt”)

b.

open(con, “r”)

c.

opencon(con, “r”)

d.

ocon(con, “r”)

Discuss
Answer: (a).con <- file(“foo.txt”)
Q34.
Which of the following code opens a connection to the file foo.txt, reads from it, and closes the connection when its done?

a.

data <- read.csv(“foo.txt”)

b.

data <- read.csvo(“foo.txt”)

c.

data <- readonly.csv(“foo.txt”)

d.

data <- getonly.csv(“foo.txt”)

Discuss
Answer: (a).data <- read.csv(“foo.txt”)
Q35.
Which of the following opens connection to gz-compressed text file?

a.

con <- gzfiles(“words.gz”)

b.

con <- gzfile(“words.gz”)

c.

con <- gzfile2(“words.gz”)

d.

con <- gzfiles2(“words.gz”)

Discuss
Answer: (b).con <- gzfile(“words.gz”)
Q36.
Which of the following extracts first element from the following R vector? 
> x <- c("a", "b", "c", "c", "d", "a")

a.

x[10]

b.

x[1]

c.

x[0]

d.

x[2]

Discuss
Answer: (b).x[1]
Q37.
Point out the correct statement?

a.

There are three operators that can be used to extract subsets of R objects

b.

The [ operator is used to extract elements of a list or data frame by literal name

c.

The [[ operator is used to extract elements of a list or data frame by string name

d.

There are five operators that can be used to extract subsets of R objects

Discuss
Answer: (a).There are three operators that can be used to extract subsets of R objects
Q38.
Which of the following extracts first four element from the following R vector? 
> x <- c("a", "b", "c", "c", "d", "a")

a.

x[0:4]

b.

x[1:4]

c.

x[0:3]

d.

x[4:3]

Discuss
Answer: (b).x[1:4]
Q39.
What will be the output of the following R code? 
> x <- c("a", "b", "c", "c", "d", "a")
> x[c(1, 3, 4)]

a.

“a” “b” “c”

b.

“a” “c” “c”

c.

“a” “c” “b”

d.

“b” “c” “b”

Discuss
Answer: (b).“a” “c” “c”
Q40.
Point out the wrong statement?

a.

$ operator semantics are similar to that of [[

b.

The [ operator always returns an object of the same class as the original

c.

The $ operator is used to extract elements of a list or a data frame

d.

There are three operators that can be used to extract subsets of R objects

Discuss
Answer: (c).The $ operator is used to extract elements of a list or a data frame
Page 4 of 10

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