Question

Load in the `TIPS` dataframe from `regclass`.

a. Define a vector called `average.tip.by.day` to intially be empty. Then, write a `for` loop to populate the elements of `average.tip.by.day` with the average tip percentage for each day of the week in the `Weekday` column.

b. Define a vector called `median.bill.by.party` to intially be empty. Then, write a `for` loop to populate the elements of `median.bill.by.party` with the median bill amount for each unique value in the `PartySize` column.

Answer 1

To populate vectors with information from a dataframe in R, one must write for loops to iterate over unique values in specific columns and calculate the average or median of the interested data points, then store the results in the respective vectors.

Step-by-step explanation:

The student is working with a dataframe in R, a programming language used for statistical computing and graphics, typically within the context of a data science or statistical analysis course. To accomplish the tasks outlined in the question, we need to create and populate vectors based on the data within the TIPS dataframe from the regclass package. Below are the step-by-step instructions for each part of the question:

a. Calculate Average Tip by Day

1. Load the TIPS dataframe from the regclass package.
2. Define the average.tip.by.day vector as empty.
3. Write a for loop to iterate through each unique day in the Weekday column.
4. For each day, calculate the average tip percentage.
5. Store the average into the average.tip.by.day vector.

b. Calculate Median Bill by Party Size

1. Define the median.bill.by.party vector as empty.
2. Write a for loop to iterate through each unique value in the PartySize column.
3. For each party size, calculate the median bill amount.
4. Store the median into the median.bill.by.party vector.

It is important to note that precise R code is not provided in this answer, but the student is given an outline to complete their assignment according to the requirements of their coursework.