R Exercises | Programming Exercises for Finance in the R Language

Introduction to R: Exercises

7. Defining a data frame. In R, it will often be simpler to work with data in the form of a data frame, rather than a collection of vectors. In this exercise, you will combine bond data, which consists of two variables -- rate, and company -- into a data frame object.

You can define a data frame by passing the data.frame() function column names and associated vectors. For example, the code below defines a data frame with the columns X and Y.

data <- data.frame(X = c(1,2,3), Y = c(4,5,6))


                                rate <- c(11.05, 3.01)
                                rating <- c("C","AA")
                                default <- c(TRUE, FALSE)
                                company <- c("Reckless_Corp", "Cautious_Corp")



                            # Define a data frame using rate and company.
                            bond_data <- ___(
                              bond_rate = ___,
                              bond_company = ___
                            )

                            # Print data frame.
                            print(___)



                            # Define a data frame using rate and company.
                            bond_data <- data.frame(
                              bond_rate = rate,
                              bond_company = company
                            )

                            # Print data frame.
                            print(bond_data)


                            test_error()
                            test_object("bond_data", incorrect_msg="Remember to use the `data.frame()` function and supply the correct vector for each column.")
                            test_output_contains("print(bond_data)", incorrect_msg="Did you print the correct object?")
                            success_msg("Excellent work!")

Check that you have applied the right function and used the right vectors.

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