Jobs By Abekus

The function that creates vectors by concatenation.

1

cp()

2

c()

3

con()

4

concat()

Solution:

There are ___ number of functions that exists for data wrangling using dplyr.

1

5

2

6

3

7

4

8

Solution:

Which of the following tests each element of x for membership in y?

1

y%in%x

2

all(x)

3

any(x)

4

x%in%y

Solution:

The empirical cumulative distribution function can be called as __________

1

EMCDF

2

EDFC

3

ECDF

4

EGDF

Solution:

The dplyr package is used to speed up data frame management code.

1

Data.table

2

Dplyr

3

Table

4

Data.dplyr

Solution:

Categorical variables that can hold either string or numeric values.

1

Factor

2

Simpler

3

Function

4

Package

Solution:

To get the current date, the _______ function will return a Date object which can be converted to a different class if necessary.

1

Sys.Time

2

Sys.Date

3

Sys.DateTime

4

DateTime

Solution:

Pick the output of the following.

`> 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)`

1

Null

2

Warning

3

Message

4

Error

Solution:

What are the data type and storage mode of the variable `x` in the following R syntax?

`x <- 1:3`

1

Data type: Numeric, Storage mode: Integer

2

Data type: Integer, Storage mode: Numeric

3

Data type: Integer, Storage mode: Integer

4

Data type: Numeric, Storage mode: Numeric

Solution:

Which of the following statements about functions in R is correct?

1

Functions are often used to encapsulate a sequence of expressions that need to be executed numerous times

2

Writing functions is a core activity of an R programmer

3

Functions are also often written when code must be shared with others or the public

4

All of the above statements are correct

R Questions Set 41:

The function that creates vectors by concatenation.

Solution:

There are ___ number of functions that exists for data wrangling using dplyr.

Solution:

Which of the following tests each element of x for membership in y?

Solution:

The empirical cumulative distribution function can be called as __________

Solution:

The dplyr package is used to speed up data frame management code.

Solution:

Categorical variables that can hold either string or numeric values.

Solution:

To get the current date, the _______ function will return a Date object which can be converted to a different class if necessary.

Solution:

Pick the output of the following.

`> 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)`

Solution:

What are the data type and storage mode of the variable `x` in the following R syntax?

`x <- 1:3`

Solution:

Which of the following statements about functions in R is correct?

Solution:

Related Question Sets:

Related Topics:

R Questions Set 41:

The function that creates vectors by concatenation.

Solution:

There are ___ number of functions that exists for data wrangling using dplyr.

Solution:

Which of the following tests each element of x for membership in y?

Solution:

The empirical cumulative distribution function can be called as __________

Solution:

The dplyr package is used to speed up data frame management code.

Solution:

Categorical variables that can hold either string or numeric values.

Solution:

To get the current date, the _______ function will return a Date object which can be converted to a different class if necessary.

Solution:

Pick the output of the following. > 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)

Solution:

What are the data type and storage mode of the variable x in the following R syntax? x <- 1:3

Solution:

Which of the following statements about functions in R is correct?

Solution:

Related Question Sets:

Related Topics:

Pick the output of the following.

`> 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)`

What are the data type and storage mode of the variable `x` in the following R syntax?

`x <- 1:3`