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R Programming Multiple Choice Questions (MCQs) and Answers

Master R Programming with Practice MCQs. Explore our curated collection of Multiple Choice Questions. Ideal for placement and interview preparation, our questions range from basic to advanced, ensuring comprehensive coverage of R Programming concepts. Begin your placement preparation journey now!

Q121

Q121 What is the class of objects created by the Sys.Date() function in R?

A

Date

B

POSIXct

C

POSIXlt

D

datetime

Q122

Q122 How can you convert a character string to a date object in R?

A

as.Date()

B

to.Date()

C

convert.Date()

D

stringToDate()

Q123

Q123 What is the primary difference between POSIXct and POSIXlt date-time classes in R?

A

POSIXct stores dates as strings, POSIXlt as lists

B

POSIXct stores dates as integers, POSIXlt as lists

C

POSIXct stores dates in UTC, POSIXlt in local time

D

There is no difference

Q124

Q124 How do you create a sequence of dates from January 1, 2021, to January 10, 2021, in R?

A

seq(as.Date("2021-01-01"), as.Date("2021-01-10"), by = "day")

B

sequence("2021-01-01", "2021-01-10")

C

dates("2021-01-01", "2021-01-10")

D

range(as.Date("2021-01-01"), as.Date("2021-01-10"))

Q125

Q125 How can you extract the month from a date object in R?

A

month()

B

extractMonth()

C

months()

D

getMonth()

Q126

Q126 If as.Date("31/12/2021") returns an NA, what is a likely cause?

A

Incorrect date format

B

Non-existent date

C

Year out of range

D

Function does not support date conversion

Q127

Q127 How can you handle time zone conversions in R?

A

Use the tz argument in functions like as.POSIXct()

B

Use the Sys.timezone() function

C

Use the convert.tz() function

D

Change system time zone settings

Q128

Q128 What is the primary difference between S3 and S4 object systems in R?

A

S3 is more formal than S4

B

S3 uses formal class definitions, S4 does not

C

S4 uses formal class definitions, S3 does not

D

There is no difference

Q129

Q129 Which function is used to define a new S3 generic function in R?

A

setGeneric()

B

UseMethod()

C

setMethod()

D

createGeneric()

Q130

Q130 What is the purpose of the setClass() function in the S4 object system in R?

A

To create a new S3 class

B

To create a new S4 class

C

To define a new generic function

D

To set a class for an object

Q131

Q131 How does method dispatch work in the S4 object system in R?

A

By function naming convention

B

By matching the method name to the class

C

By explicit method registration with setMethod()

D

By object structure analysis

Q132

Q132 How do you create an object of a new S4 class named "Person" with a slot "name" in R?

A

new("Person", name = "John")

B

create("Person", name = "John")

C

Person$new(name = "John")

D

setClass("Person", name = "John")

Q133

Q133 How can you define a method for a generic function show for an S4 class "Person" in R?

A

setGeneric("show", function(x) standardGeneric("show"))

B

setMethod("show", "Person", function(object) { ... })

C

show <- function(object) { ... }

D

generic("show", "Person", function(object) { ... })

Q134

Q134 If an S3 method is not dispatching correctly, what is a common issue to check?

A

Incorrect class name

B

Method not defined with setMethod

C

Method not registered

D

Function name mismatch

Q135

Q135 How can you inspect the structure of an S4 object to understand its slots and their values?

A

str(object)

B

slotNames(object)

C

getSlots(object)

D

show(object)

Q136

Q136 What is the primary purpose of R Markdown?

A

Data visualization

B

Web development

C

Reproducible reporting

D

Database management

Q137

Q137 Which file extension is used for R Markdown files?

A

.Rmd

B

.Rmarkdown

C

.md

D

.R

Q138

Q138 What function is used to render an R Markdown document to HTML?

A

render()

B

convert()

C

compile()

D

output()

Q139

Q139 What is a code chunk in R Markdown?

A

A section of code written in R language

B

A section of Markdown syntax

C

A combination of R and Markdown syntax

D

A section of comments only

Q140

Q140 How do you start a code chunk in an R Markdown document?

A

```{r}

B

```r

C

{r}

D

```r {```

Q141

Q141 How can you include a plot generated in R within an R Markdown document?

A

Create the plot in a code chunk

B

Save the plot as an image and embed it

C

Generate the plot externally

D

Embed the plot URL

Q142

Q142 What could be a reason for an R Markdown document failing to knit properly?

A

Incorrect file path

B

Syntax errors in code chunks

C

Missing package dependencies

D

Insufficient memory

Q143

Q143 How can you troubleshoot an error in an R Markdown document where code runs in R but not when knitted?

A

Check for environment differences

B

Check for missing library calls

C

Check for chunk options

D

Reinstall R Markdown

Q144

Q144 What is the primary goal of performance tuning in R?

A

To reduce code readability

B

To make code run faster and more efficiently

C

To increase the complexity of the code

D

To add more features to the code

Q145

Q145 Which function in R can be used to measure the execution time of a code block?

A

system.time()

B

exec.time()

C

time()

D

measure.time()

Q146

Q146 What is a common method to improve the performance of a loop in R?

A

Use nested loops

B

Use vectorized operations

C

Increase the loop iterations

D

Add more comments

Q147

Q147 How can you profile the performance of an R script to identify bottlenecks?

A

Use the summary() function

B

Use the lm() function

C

Use the profvis() package

D

Use the plot() function

Q148

Q148 Which function helps in pre-allocating memory for a vector to improve performance in R?

A

preallocate()

B

vector()

C

alloc()

D

initialize()

Q149

Q149 What could be a reason for an R script running slower than expected despite being optimized?

A

Hardware limitations

B

Incorrect code logic

C

Insufficient memory

D

All of these factors

Q150

Q150 How can parallel processing improve the performance of an R script?

A

By running tasks sequentially

B

By utilizing multiple CPU cores to run tasks simultaneously

C

By reducing the number of computations

D

By increasing the memory usage

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