Control Structures in R Programming MCQ question and answer with solution | R Programming MCQs

A. apply()

B. lapply()

C. sapply()

D. mapply()

A. The next statement causes an exit from the innermost loop that is currently being executed

B. There are two statements that can be used to explicitly control looping

C. The break statement immediately causes control to return to the start of the loop

D. Computation in R consists of sequentially evaluating statements

A. Statements, such as x<-1:10 or mean(y), can be separated by either a semicolon or a new line

B. Whenever the evaluator is presented with a syntactically complete statement that statement is evaluated and the value returned

C. Computation in R consists of sequentially evaluating statements

D. All of the mentioned

A. Error

B. Warning

C. Messages

D. Null

A. The sapply() function behaves similarly to lapply()

B. With multiple factors and many levels, creating an interaction can result in many levels that are empty

C. apply() can be thought of as a combination of split() and sapply() for vectors only

D. You can use tsplit() to evaluate a function single time each with a same argument

A. save (x, file="x.Rdata")

B. save (x, file=x.Rdata)

C. save (x, file="x.Rdata");

D. save (x, file="x.data")

A. > y <- "meat"
> switch(y, fruit = "banana", vegetable = "broccoli", "Neither")

B. > y <- "brocolli"
> switch(y, fruit = "banana", vegetable = "broccoli", "Neither")

C. > y <- "banana"
> switch(y, fruit = "banana", vegetable = "broccoli", "Neither")

D. > y >- "banana"
> y(y, fruit = "banana", vegetable = "broccoli", "Neither")

A. rnorm

B. vnorm

C. knorm

D. lnorm

A. $a
[1] 1 2
$b
[1] 1 2 3

B. $a
[1] 1 2 3
$b
[1] 1 2 3

C. $a
[1] 1 2 3
$b
[1] 1 2

D. Error

A. Transpose()

B. Structure()

C. Package

D. Function