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

A. struct(my_data)

B. str(my_data)

C. structure(my_data)

D. check_structure(my_data)

A. Retrieve the number of elements in an object

B. Set or retrieve names of an object

C. Assign names to the elements

D. Remove names from an object

A. as.factor()

B. as.character()

C. to.character()

D. factor_to_char()

A. data$Age

B. data[,"Age"]

C. data[["Age"]]

D. data.column("Age")

A. my_data$Height <- c(160, 170, 155)

B. add_column(my_data, "Height", c(160, 170, 155))

C. my_data[,"Height"] <- c(160, 170, 155)

D. append_column(my_data, "Height", c(160, 170, 155))

A. char_vec <- c("apple", "orange", "banana")

B. vector("apple", "orange", "banana")

C. create_char_vector("apple", "orange", "banana")

D. char_vec(c("apple", "orange", "banana"))

A. Display the structure of an object

B. Convert object to a string

C. Compute the mean of an object

D. Check the type of an object using string comparison

A. my_df <- data.frame(Name = c("Alice", "Bob"), Age = c(25, 30))

B. create_df(Name = c("Alice", "Bob"), Age = c(25, 30))

C. df(Name = c("Alice", "Bob"), Age = c(25, 30))

D. data_frame(Name = c("Alice", "Bob"), Age = c(25, 30))

A. 3

B. 5

C. 2

D. 4

A. as.numeric(factor_vector)

B. factor_vector(as.numeric)

C. numeric(factor_vector)

D. to.numeric(factor_vector)