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

A. working on data

B. reading files

C. reading lines in files

D. not exist

A. x[2, ]

B. x[1, 2]

C. x[, 2]

D. x[1 1 2]

A. [,1] [,2] [,3]
[1,] 1 3 5

B. [,1] [,2] [,3]
[1,] 2 3 5

C. [,1] [,2] [,3]
[1,] 1 2 5

D. Error

A. %>%>

B. %>%

C. >%>%

D. >>>>%%%

A. The complement to the textual format is the binary format

B. If you have a lot of objects that you want to save to a file, you can save all objects in your workspace using the save.image() function

C. The serialize() function is used to convert individual R objects into a binary format that can be communicated across an arbitrary connection

D. All of the mentioned

A. data.table

B. read.table

C. data.data

D. table.read

A. 1

B. 2

C. 3

D. NULL

A. When you call unserialize() on an R object, the output will be a raw vector coded in hexadecimal format

B. serialize() function is the only way to perfectly represent an R object in an exportable format

C. .rda extension is used when save() function is incorporated

D. The complement to the textual format is the binary format

A. rename

B. filter

C. set

D. subset

A. data <- read.table("foo.txt")

B. read.data <- read.table("foo.txt")

C. data <- read.data("foo.txt")

D. data <- data("foo.txt")