Indexing in Factors | Factors
R Introduction: Part I

# Indexing in Factors

Excellent! Now, let's delve into how to manipulate or modify an existing factor variable.

To begin, we can specify which values to display by using indexing. This operates in the same way as indexing a vector. For instance, to show the third and fifth entries of the `curr_f` factor, we can use the following indexing:

When R presents the output, it lists all levels beneath, even though only a couple of categorical values were shown. This feature becomes particularly handy when dealing with extensive data and trying to remember all the unique values is impractical.

If it's not necessary to display every level, you can include the `drop = TRUE` (or `drop = T`) parameter within the brackets `[]`. This will show only the levels retrieved from indexing. The same operation as mentioned earlier would be written like this:

Using individual indices may not be practical when you need to extract a series of elements. In R, you can generate a vector of consecutive integers by separating the starting and ending numbers with a colon `:`. For instance, `5:10` will produce a sequence `5, 6, 7, 8, 9, 10`. Apply this technique in the upcoming task.

Завдання

Considering the same dataset of blood types in a factor format, here are your tasks:

1. Display the 3rd, 10th, and 15th elements of `blood_gr`, making sure to drop any unused levels (using the `drop` parameter).
2. Show every element from the 15th to the 21st, inclusive.

Все було зрозуміло?

Секція 3. Розділ 2

Зміст курсу

R Introduction: Part I

# Indexing in Factors

Excellent! Now, let's delve into how to manipulate or modify an existing factor variable.

To begin, we can specify which values to display by using indexing. This operates in the same way as indexing a vector. For instance, to show the third and fifth entries of the `curr_f` factor, we can use the following indexing:

When R presents the output, it lists all levels beneath, even though only a couple of categorical values were shown. This feature becomes particularly handy when dealing with extensive data and trying to remember all the unique values is impractical.

If it's not necessary to display every level, you can include the `drop = TRUE` (or `drop = T`) parameter within the brackets `[]`. This will show only the levels retrieved from indexing. The same operation as mentioned earlier would be written like this:

Using individual indices may not be practical when you need to extract a series of elements. In R, you can generate a vector of consecutive integers by separating the starting and ending numbers with a colon `:`. For instance, `5:10` will produce a sequence `5, 6, 7, 8, 9, 10`. Apply this technique in the upcoming task.

Завдання

Considering the same dataset of blood types in a factor format, here are your tasks:

1. Display the 3rd, 10th, and 15th elements of `blood_gr`, making sure to drop any unused levels (using the `drop` parameter).
2. Show every element from the 15th to the 21st, inclusive.

Все було зрозуміло?

Секція 3. Розділ 2