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Welcome to the Scoping Rules and Debugging MCQs Page

Dive deep into the fascinating world of Scoping Rules and Debugging with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Scoping Rules and Debugging, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Scoping Rules and Debugging, 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 Scoping Rules and Debugging. 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 Scoping Rules and Debugging. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Scoping Rules and Debugging MCQs | Page 5 of 6

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Q41.
What will be the output of the following R expression?
> log(-2.3)
Discuss
Answer: (a).Warning in log(-2.3): NaNs produced
Discuss
Answer: (a).Vectorizing the function can be accomplished easily with the Vectorize() function
Discuss
Answer: (b).Error in log(c(-1, 2)): NaNs produced
Q44.
What will be the output of the following R code?
> printmessage2 <- function(x) {
+                      if(is.na(x))
+                              print("x is a missing value!")
+                      else if(x > 0)
+                              print("x is greater than zero")
+                      else
+                              print("x is less than or equal to zero")
+                      invisible(x)
+ }
> printmessage2(NA)
Discuss
Answer: (a).β€œx is a missing value!”
Q45.
What will be the output of the following R code?
> printmessage <- function(x) {
+                      if(x > 0)
+                           print("x is greater than zero")
+                      else
+                           print("x is less than or equal to zero")
+                      invisible(x)
+ }
> printmessage(NA)
Discuss
Answer: (a).Error
Q46.
What will be the output of the following R code?
> mean(x)
  Error in mean(x) : object 'x' not found
> traceback()
Discuss
Answer: (a).1: mean(x)
Q47.
The recover() function will first print out the function call stack when an _______ occurs.
Discuss
Answer: (a).Error
Q48.
__________ prints out the function call stack after an error occurs.
Discuss
Answer: (b).traceback()
Discuss
Answer: (b).R provides only two tools to help you with debugging your code
Q50.
Which of the following is primary tool for debugging?
Discuss
Answer: (a).debug()
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