R Programming for Statistics and Data Science - Building a Function in R 2.0

In this lesson, the instructor revisits a basic function in R, initially designed to draw cards from a deck. The function is enhanced by introducing arguments, allowing it to work with different data sets. The lesson progresses by modifying the function to deal cards instead of drawing them, and testing it with different card decks. To ensure variability, the function is further refined to shuffle the deck before dealing. The lesson concludes with a discussion on combining these features into a single, elegant function.

What is the primary purpose of the 'draw' function introduced in the first section?

• To calculate the probability of drawing a specific card

• To sort a deck of cards in ascending order

• To create a deck of cards and print a sample hand

• To shuffle a deck of cards

How can the 'draw' function be modified to work with different data sets?

• By using a global variable for the data set

• By creating a separate function for each data set

• By hardcoding different data sets within the function

• By passing the data set as an argument to the function

What structural change is made to the deck in the enhanced function?

• It is saved as a matrix with one column and multiple rows

• It is converted into a list

• It is stored as a vector with multiple columns

• It is transformed into a data frame

Why is shuffling introduced in the final section of the lesson?

• To add randomness to the card dealing process

• To maintain the original order of the deck

• To increase the speed of the function

• To ensure the cards are dealt in a specific order

What is the benefit of combining all functionalities into a single function as discussed in the final section?

• It reduces the complexity of the code

• It enhances the elegance and functionality of the function

• It makes the function easier to debug

• It allows the function to run faster