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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.

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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 4 of 8

Q31.
______ splits a data frame and results an array.
Discuss
Answer: (b).daply
Q32.
________ makes it incredibly easy to fit time series models like ARIMA, ARMA, AR, Exponential Smoothing, etc.
Discuss
Answer: (c).forecast
Q33.
________ provides needed string operators in R.
Discuss
Answer: (c).stringr
Discuss
Answer: (c).install.packages(“forecast”)
Q35.
Which of the following is similar to Moment.js?
Discuss
Answer: (b).lubridate
Q36.
Which of the following is a library for statistical quality control?
Discuss
Answer: (b).qcc
Q37.
______ specializes in converting data from wide to long format.
Discuss
Answer: (c).reshape2
Q38.
_________ is used to convert wide data to long data.
Discuss
Answer: (a).melt
Q39.
______ is used to view all packages installed.
Discuss
Answer: (a).library()
Q40.
______ is used to get library location in R.
Discuss
Answer: (c)..libPaths()
Page 4 of 8

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