R Programming Online Quiz Questions and Answers

Which of the following is a base package for R language?

R comes with a ________ to help you optimize your code and improve its performance.

debug() flags a function for ______ mode in R mode.

______ suspends the execution of a function wherever it is called and puts the function in debug mode

A matrix is ___dimensionsinal rectangular data set?

The _____ function takes a vector or other objects and splits it into groups determined by a factor or list of factors.

lapply function takes___ arguments in R language

____is used to apply a function over subsets of a vector

_______applies a function over the margins of an array

____function is same as lapply() in R

_______ loop over a list and evaluate a function on each element

__________ is proprietary tool for predictive analytics.

Data frames can be converted to a matrix by calling data._______

Which of the following method make a vector of repeated values?

R objects can have attributes, which are like ________ for the object

Attributes of an object (if any) can be accessed using the ______ function.

_________ involves predicting a response with meaningful magnitude, such as quantity sold, stock price, or return on investment.

________ provides needed string operators in R

______ splits a data frame and results in an array (hence the da). Hopefully, you’re getting the idea here.

System.time function returns an object of class _______ which contains two useful bits of information.

Which of the following will start the R program?

Which of the following is used for Statistical analysis in R language?

R functionality is divided into a number of ________

Which of the following is an example of vectorized operation as far as subtraction is concerned?
> x <- 1:4

> y <- 6:9

What would be the output of the following code?

> x <- 1:4

> y <- 6:9

> z <- x + y

> z

What would be the output of the following code?

> x <- 1:4

> x > 2

What would be the value of the following expression?
log(-1)

What will be the output of the following code?

> g <- function(x) {

+ a <- 3

+ x+a+y

+ ## ‘y’ is a free variable

+ }

> g(2)

What will be the output of the following code?

function(p) {

params[!fixed] <- p

mu <- params[1]

sigma <- params[2]

## Calculate the Normal density

a <- -0.5*length(data)*log(2*pi*sigma^2)

b <- -0.5*sum((data-mu)^2) / (sigma^2)

-(a + b)

}

> ls(environment(nLL))

Which of the following is a principle of analytic graphics?