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Welcome to the Data Types and Dataset Reading MCQs Page

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

Data Types and Dataset Reading MCQs | Page 9 of 10

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Q81.
The ________ function takes an arbitrary number of arguments and concatenates them one by one into character strings.
Discuss
Answer: (a).copy()
Discuss
Answer: (d).All of the mentioned
Q83.
What will be the output of the following R code?
> x <- 1:3
> y <- 10:12
> rbind(x, y)
Discuss
Answer: (a).[,1] [,2] [,3]
x 1 2 3
Y 10 11 12
Discuss
Answer: (a).[[1]]
[1] 1

[[2]]
[1] "a"

[[3]]
[1] TRUE

[[4]]
[1] 1+4i
Discuss
Answer: (c).vectors provide a convenient way to return the results of a statistical computation
Discuss
Answer: (b).> x <- factor(c("yes", "yes", "no", "yes", "no"))
Q87.
What will be the output of the following R code?
> x <- vector("list", length = 5)
> x
Discuss
Answer: (a).NULL
Q88.
What will be the output of the following R code?
> x <- factor(c("yes", "yes", "no", "yes", "no"))
> table(x)
Discuss
Answer: (a).no yes
2 3
Q89.
Which of the following code snippet will create a vector with NAs in it?
Discuss
Answer: (a).x >- c(1, 2, NA, 10, 3)
Q90.
What will be the output of the following R code?
> x <- c(1, 2, NaN, NA, 4)
> is.na(x)
Discuss
Answer: (a).FALSE FALSE TRUE TRUE FALSE

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