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

A. my_data[1, ]

B. my_data[first_row()]

C. my_data[,"row" == 1]

D. extract_row(my_data, 1)

A. Create a contingency table from factors

B. Display a table of values

C. Generate a summary of data using tables

D. Count the number of rows and columns in a data frame

A. my_data <- my_data[, -which(names(my_data) == "Income")]

B. my_data$Income <- NULL

C. drop_column(my_data, "Income")

D. remove_col(my_data, "Income")

A. Converts a list to a vector

B. Reverses the order of elements

C. Creates an unsorted list

D. Extracts unique elements from a vector

A. as.numeric("123")

B. numeric("123")

C. convert_numeric("123")

D. to_numeric("123")

A. Create a subset of a data frame based on conditions

B. Generate a summary of a data frame

C. Filter data based on row and column indices

D. Extract unique values from a vector using subsetting

A. my_data <- rbind(my_data, c("Alice", 28))

B. my_data <- add_row(my_data, Name = "Alice", Age = 28)

C. my_data$Name <- "Alice"; my_data$Age <- 28

D. append_row(my_data, c("Alice", 28))

A. concat()

B. paste()

C. c()

D. combine()

A. Extracts specific rows from a data frame

B. Dices a vector into smaller slices

C. Counts the number of slices in a vector

D. Slices a data frame into smaller data frames

A. named_vector <- c(one = 1, two = 2, three = 3)

B. create_named_vec(1, 2, 3, names = c("one", "two", "three"))

C. numeric_vector(c(1, 2, 3), names = c("one", "two", "three"))

D. vec_named(c(1, 2, 3), c("one", "two", "three"))