Data Structures In R Programming — Part 1 MCQs with Explanations

Vector is the correct answer to “Which data structure in R is used to store an ordered collection of elements”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

A two-dimensional array is the correct answer to “What does the matrix() function create in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_list = list(1, "hello", TRUE) is the correct answer to “In R, how do you create a list named my_list with three elements: 1, "hello", and TRUE”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Data Frame is the correct answer to “What is the primary data structure used for storing tabular data in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Vectors can store elements of different types is the correct answer to “How is a vector different from a list in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

matrix(1:9, nrow = 3, ncol = 3) is the correct answer to “In R, how is a matrix initialized with values 1 to 9 arranged in three rows”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

factor(color = c("red", "green", "blue"), levels = c("red", "green", "blue")) is the correct answer to “How do you create a factor in R named color with levels "red", "green", and "blue"”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Create a data frame is the correct answer to “What is the purpose of the data.frame() function in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

list(elements = c("apple", "orange", "banana")) is the correct answer to “In R, how do you create a named list with elements "apple", "orange", and "banana"”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_vector[2] is the correct answer to “What is the correct way to access the second element of a vector named my_vector in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

str(my_data) is the correct answer to “How do you check the structure of a data frame named my_data in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Assign names to the elements is the correct answer to “In R, what is the purpose of the names() function”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

as.character() is the correct answer to “What function is used to convert a factor to a character vector in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

data[,"Age"] is the correct answer to “How is a data frame column named Age selected in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_data$Height <- c(160, 170, 155) is the correct answer to “In R, how do you add a new column named Height to a data frame named my_data”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

char_vec <- c("apple", "orange", "banana") is the correct answer to “How do you create a character vector with the elements "apple", "orange", and "banana" in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Display the structure of an object is the correct answer to “What does the str() function do in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_df <- data.frame(Name = c("Alice", "Bob"), Age = c(25, 30)) is the correct answer to “In R, how do you create a data frame named my_df with columns Name and Age”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

3 is the correct answer to “What is the result of length(unique(c(1, 2, 3, 1, 2))) in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

numeric(factor_vector) is the correct answer to “In R, how is a factor converted to a numeric vector using the as.numeric() function”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_data[1, ] is the correct answer to “How do you extract the first row of a data frame named my_data in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Create a contingency table from factors is the correct answer to “In R, what is the purpose of the table() function”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_data$Income <- NULL is the correct answer to “How do you remove a column named Income from a data frame named my_data in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Converts a list to a vector is the correct answer to “In R, what does the unlist() function do”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

as.numeric("123") is the correct answer to “How is a character string converted to a numeric vector in R using the as.numeric() function”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Create a subset of a data frame based on conditions is the correct answer to “In R, what is the purpose of the subset() function”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

my_data <- add_row(my_data, Name = "Alice", Age = 28) is the correct answer to “How do you add a new row to a data frame named my_data with values "Alice" and 28 for columns Name and Age”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

c() is the correct answer to “What function is used to concatenate two vectors in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

Extracts specific rows from a data frame is the correct answer to “In R, what does the slice() function do”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

vec_named(c(1, 2, 3), c("one", "two", "three")) is the correct answer to “How do you create a named numeric vector with values 1, 2, and 3 named "one", "two", and "three" in R”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

unclass(as.Date("1970-01-02")) is the correct answer to “Which of the following code represents internal representation of a Date object”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

1 3 5 is the correct answer to “What will be the output of the following R code? > x <- matrix(1:6, 2, 3) > x[1, ]”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

x[1:4] is the correct answer to “Which of the following extracts first four element from the following R vector? > x <- c("a", "b", "c", "c", "d", "a")”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

group_by() is the correct answer to “The . . . . . . . . function is used to generate summary statistics from the data frame within strata defined by a variable.”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

dget() is the correct answer to “Main way to read the data back in (parsing it) using the function.”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

save() is the correct answer to “If we want to save individual R objects to a file, we use the . . . . . . . . function.”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

reading is the correct answer to “load() is used for . . . . . . . .”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

7 9 11 13 is the correct answer to “What will be the output of the following R code? > x <- 1:4 > y <- 6:9 > z <- x + y > z”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

x[[1]] is the correct answer to “Which of the following extracts first element from the following R list? > x <- list(foo = 1:4, bar = 0.6)”. This question is standard in competitive examination syllabi for Data Structures In R Programming.

desc() is the correct answer to “Columns can be arranged in descending order too by using the special . . . . . . . . operator.”. This question is standard in competitive examination syllabi for Data Structures In R Programming.