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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 3 of 10

Explore more Topics under R Programming

Q21.
.RData extension used when we save data using the functions ___________

a.

save()

b.

save.image()

c.

save and save.image functions

d.

serialize()

Discuss
Answer: (c).save and save.image functions
Q22.
When you call serialize() on an R object, the output will be ____ coded in hexadecimal format.

a.

raw vector

b.

character vector

c.

integer vector

d.

binary vector

Discuss
Answer: (a).raw vector
Q23.
The benefit of the _____ function is that it is the only way to perfectly repressed an R object in an exportable format, without losing precision or any metadata.

a.

save()

b.

save.image()

c.

unserialize()

d.

serialize()

Discuss
Answer: (d).serialize()
Q24.
load() is used for _______

a.

reading

b.

loading

c.

working

d.

not exist

Discuss
Answer: (a).reading
Q25.
readlines is used for ____________

a.

working on data

b.

reading files

c.

reading lines in files

d.

not exist

Discuss
Answer: (b).reading files
Q26.
Individual R objects can be saved to a file using the _____ function.

a.

save

b.

put

c.

save_image

d.

get

Discuss
Answer: (a).save
Q27.
Point out the correct statement?

a.

The complement to the textual format is the binary format

b.

If you have a lot of objects that you want to save to a file, you can save all objects in your workspace using the save.image() function

c.

The serialize() function is used to convert individual R objects into a binary format that can be communicated across an arbitrary connection

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q28.
Which of the following R statement will save the output to the file for following R code? 
> a <- data.frame(x = rnorm(100), y = runif(100))
> b <- c(3, 4.4, 1 / 3)

a.

save(a, b, file = “mydata.rda”)

b.

save_image(a, b, file = “mydata.rda”)

c.

keep(a, b, file = “mydata.rda”)

d.

keep_image(a, b, file = “mydata.rda”)

Discuss
Answer: (a).save(a, b, file = “mydata.rda”)
Q29.
Which of the following statement will load the objects to the file named “mydata.RData”?

a.

save(“mydata.RData”)

b.

load(“mydata.RData”)

c.

loadAll(“mydata.RData”)

d.

put(“mydata.RData”)

Discuss
Answer: (b).load(“mydata.RData”)
Q30.
Point out the wrong statement?

a.

When you call unserialize() on an R object, the output will be a raw vector coded in hexadecimal format

b.

serialize() function is the only way to perfectly represent an R object in an exportable format

c.

.rda extension is used when save() function is incorporated

d.

The complement to the textual format is the binary format

Discuss
Answer: (a).When you call unserialize() on an R object, the output will be a raw vector coded in hexadecimal format
Page 3 of 10

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