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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 8 of 10

Explore more Topics under R Programming

Q71.
What will be the output of the following R code?
> x <- as.Date("2012-03-01")
> y <- as.Date("2012-02-28")
> x-y
Discuss
Answer: (b).Time difference of 2 days
Q72.
What will be the output of the following R code?
> x <- as.POSIXct("2012-10-25 01:00:00")
> y <- as.POSIXct("2012-10-25 06:00:00", tz = "GMT")
> y-x
Discuss
Answer: (a).Time difference of 1 hour
Q73.
Which of the following return a subset of the columns of a data frame?
Discuss
Answer: (a).select
Discuss
Answer: (d).All of the mentioned
Q75.
_________ extract a subset of rows from a dataframe based on logical conditions.
Discuss
Answer: (a).rename
Q76.
_________ generate summary statistics of different variables in the data frame, possibly within strata.
Discuss
Answer: (b).summarize
Discuss
Answer: (c).The dplyr package provides any β€œnew” functionality to R
Q78.
________ add new variables/columns or transform existing variables.
Discuss
Answer: (a).mutate
Q79.
The _______ operator is used to connect multiple verb actions together into a pipeline.
Discuss
Answer: (a).pipe
Q80.
The dplyr package can be installed from GitHub using the _______ package.
Discuss
Answer: (b).devtools
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