R Language Quiz

Important Quiz R Programming Debug 6

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The article is about “Quiz R Programming” which covers different aspects of debugging a function’s execution. Let us start with the Quiz R Programming Debug.

MCQs about Debugging and Traceback in R Language

1. Which of the following functions allows you to temporarily insert pieces of code into other functions to modify their behavior?

 
 
 
 

2. You are working with a large data frame. It contains so many columns that they don’t all fit on the screen simultaneously. You want a quick list of all the column names to understand better what is in their data. What function should they use?

 
 
 
 

3. What does the Rprof( ) function do?

 
 
 
 

4. What is the microbenchmark package useful for?

 
 
 
 

5. You are compiling an analysis of the average monthly costs for your company. What summary statistic function should you use to calculate the average?

 
 
 
 

6. You want to create functions, documentation, sample data sets, and code tests they can share and reuse in other projects. What should you create to help them accomplish this?

 

 
 
 
 

7. What does the profvis( ) function do?

 
 
 
 

8. You want to create a vector with the values 21, 12, 39, in that exact order. After specifying the variable, what R code chunk lets you create the vector?

 
 
 
 

9. A data analyst wants a high-level summary of the structure of their data frame, including the column names, the number of rows and variables, and the type of data within a given column. What function should they use?

 
 
 
 

10. You want to store a vector in a variable. What type of operator would you use to do this?

 

 
 
 
 

11. What does calling trace(“f”) for function “f( )” do

 
 
 
 

12. What does the traceback( ) function do?

 
 
 
 

13. Which function is better for analyzing fast-running functions: profvis( ) or microbenchmark( )?

 
 
 
 

14. What is the name of the popular package archive dedicated to supporting R users’ authentic, validated code?

 
 
 
 

15. Debugging is the process of

 
 
 
 

16. In R, what includes reusable functions and documentation about how to use the functions?

 
 
 
 

17. Which of the following files in R have names that follow widely accepted naming convention rules?

 
 
 
 

18. Where in RStudio can you find the export menu for saving plots?

 
 
 
 

19. Which of the following functions initiates an interactive debugging environment that allows you to step through code one expression at a time?

 
 
 
 

20. When should the traceback( ) function be called?

 
 
 
 

Debugging is an essential skill in programming, including R programming. In R Programming Language, the debug() function in R allows the user to step through the function’s execution, line by line. At any point, we can print out values of variables or produce a graph of the results within the function.

MCQs Quiz R Programming Debug

Quiz R Programming with Answers

  • Debugging is the process of
  • Which of the following functions initiates an interactive debugging environment that allows you to step through code one expression at a time?
  • Which of the following functions allows you to temporarily insert pieces of code into other functions to modify their behavior?
  • What does the traceback() function do?
  • When should the traceback() function be called?
  • What does calling trace(“f”) for function “f( )” do
  • What is the microbenchmark package useful for?
  • What does the Rprof( ) function do?
  • What does the profvis( ) function do?
  • Which function is better for analyzing fast-running functions: profvis( ) or microbenchmark( )?
  • In R, what includes reusable functions and documentation about how to use the functions?
  • What is the name of the popular package archive dedicated to supporting R users’ authentic, validated code?
  • You want to create a vector with the values 21, 12, 39, in that exact order. After specifying the variable, what R code chunk lets you create the vector?
  • You are compiling an analysis of the average monthly costs for your company. What summary statistic function should you use to calculate the average?
  • You are working with a large data frame. It contains so many columns that they don’t all fit on the screen simultaneously. You want a quick list of all the column names to understand better what is in their data. What function should they use?
  • Where in RStudio can you find the export menu for saving plots?
  • Which of the following files in R have names that follow widely accepted naming convention rules?
  • You want to store a vector in a variable. What type of operator would you use to do this?  
  • You want to create functions, documentation, sample data sets, and code tests they can share and reuse in other projects. What should you create to help them accomplish this?  
  • A data analyst wants a high-level summary of the structure of their data frame, including the column names, the number of rows and variables, and the type of data within a given column. What function should they use?

Statistics and Data Analysis

Online Quiz Website with Answers

Important MCQs R Vectors Data Structure 5

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This quiz “MCQs R Vectors” covers the topics related to creating different types of vectors in R, vector operations, Functions for vectors, naming, and concatenating vectors in R. Let us start with the Quiz on MCQs R Vectors.

Please go to Important MCQs R Vectors Data Structure 5 to view the test

In R Langauge, a vector data type is a fundamental data structure that represents a sequence of elements having the same data type. R Vectors can be of various types, including numeric, character, logical, and more.

MCQs R Vectors Data Structure

MCQs R Vectors

  • The following command can be used to print an object “x” in R.
  • What is the output of the following R code? r <- 0:10 r[2]
  • ________ operator is used to create integer sequences.
  • What is the output of the following R code? y <- 0:5 vector(y) y[3]
  • How can one define ‘infinity’ in R Language? How can one define ‘undefined value’ in R Language?
  • What is the output of the following R code? x <- c(“a”, “b”) as.numeric(x)
  • Identify the wrong statement:
  • If a command is incomplete at the end of a line, R will give a different prompt, by default it is _____
  • Which of the described R Language best
  • Which function can you use to create a different plot for each type of cut of diamond?
  • A data analyst inputs the following code in RStudio: sales_1 <- 100 * sales_2. Which of the following types of operators does the analyst use in the code?
  • What are ggplot2, tidyr, dplyr, and forcats all a part of?
  • Which tidyverse package is used for data visualization?
  • An analyst is organizing a dataset in RStudio using the following code: arrange(filter(Storage_1, inventory >= 40), count)
  • Which of the following examples is a nested function in the code?
  • Which tidyverse package contains a set of functions, such as select(), that help with data manipulation?
  • Which of the following statements about vectors in R is correct?
  • A data analyst finds the code mdy(10211020) in an R script. What is the year of the date that is created?
  • A data analyst wants to combine values using mathematical operations. What type of operator would they use to do this?
  • A data analyst wants to store a sequence of data elements with the same data type in a single variable. What R concept allows them to do this?

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Important MCQs R Language History & Basics 4

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The post is about MCQs R Language. The quiz about MCQS R Language covers some basics of R language, its functionality, concepts of packages, and history of R Language.

Please go to Important MCQs R Language History & Basics 4 to view the test

The R language is a free and open-source language developed by Ross Ihaka and Robert Gentleman in 1991 at the University of Auckland, New Zealand. The R Language is used for statistical computing and graphics to clean, analyze, and graph your data.

MCQs R Language History and Basics

MCQs R Language History and Basics Online Quiz

  • In which year the R-Core Team was formed?
  • The public version of R released in 2000 was
  • R Runs on the operating system
  • The primary source code copyright for R is held by the
  • R is published under the General Public License version.
  • The “base” R system can be downloaded from
  • The following packages are not contained in the “base” R system.
  • One limitation of R is that its functionality is based on __________.
  • The wrong statement from the following is:
  • R functionality is divided into a number of
  • The primary R system is available from the ________.
  • Which package contains the most fundamental functions to run R?
  • Which of the following is the wrong statement:
  • Which of the following is a “base” package for the R language?
  • Which of the following is a recommended package in R
  • What is the output of getOption(“defaultPackages”) in R Studio?
  • Advanced users of R can write ___________ code to manipulate R objects directly
  • Which of the following is used for Statistical analysis in the R language?
  • Which of the following are examples of variable names that can be used in R?
  • Which of the following are best practices for creating data frames?

The strengths of R programming language lie in its statistical capabilities, data visualization tools (such as ggplot2), and a vast ecosystem of packages contributed by the community. R Language remains a popular choice for statisticians and data scientists working on a wide range of projects.

Basic Statistics and Data Analysis