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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 1 of 10

Explore more Topics under R Programming

Q1.
Which of the following is used for reading in saved workspaces?
Discuss
Answer: (b).load
Discuss
Answer: (d).all of the mentioned
Q3.
________ is used for outputting a textual representation of an R object.
Discuss
Answer: (a).dput
Q4.
Which of the following argument denotes if the file has a header line?
Discuss
Answer: (a).header
Discuss
Answer: (b).save is used for saving an arbitrary number of R objects in binary format to a file
Discuss
Answer: (a).data <- read.table(β€œfoo.txt”)
Q7.
Which of the following function is identical to read .table?
Discuss
Answer: (a).read.csv
Discuss
Answer: (a).initial <- read.table(β€œdatatable.txt”, nrows = 100)
Discuss
Answer: (c).structure(list(a = 1, b = structure(1L, .Label = "a", class = "factor")), .Names= c("a",
"b"), row.names = c(NA, -1L), class = "data.frame")
Q10.
Which of the following is used for reading tabular data?
> y <- data.frame(a = 1, b = "a")
> dput(y, file = "y.R")
> new.y <- dget("y.R")
> new.y
Discuss
Answer: (a).a b
1 1 a
Page 1 of 10

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