Hello and welcome! Today, we're learning to add and remove rows from data frames in R. This is an essential skill for data manipulation. By the end of the lesson, you'll be proficient in using the rbind() function to add rows and negative indexing to remove rows.

As you may recall, a data frame in R is a tabular storage medium for data. It's akin to a table in a library, where each book corresponds to a row, and each detail of a book has a column.

Here, we're tracking the details of students with a data frame named students.

The rbind() function in R helps us add new rows to data frames. It requires that the new row aligns structurally with the existing data frame.

Let's add a new student to our data frame.

To remove rows from a data frame, you can use negative indexing. Let's say, for example, that we want to remove "Peter" from the students data frame.

Errors can arise if the new row's structure does not align with the data frame's structure. Always confirm the structure and data types of your data frame using the str() function. For example, if we use print(str(students)), we will see the following:

Imagine you're attempting to add a new student to our students data frame but accidentally leave out one of the required columns. For example, if you forget to include the Grade column for the new student:

Trying to add incomplete_new_student to the students data frame using rbind() will produce an error because the columns in incomplete_new_student do not match those in students. R will display a message similar to:

This error occurs because all rows in a data frame must have the same columns. Always ensure that the new row includes all the columns present in the original data frame.

Well done! You've mastered the skill of adding and removing rows from data frames in R. Now is the time for some hands-on practice to solidify your new skill. Onward!