Another variable that needs some cleaning up is membership_status. Currently it should either be NA or contain some text that says "Select ... to register for this group". Recode this variable to say "Closed" if the current value is NA or "Open" otherwise. Save the resulting dataset with this new variables as clubs, i.e., overwrite the original data frame. Then, display the first 10 rows of the dataset, moving membership_status to the beginning of the dataset to make sure it appears in the output in your rendered document.
I'll help you clean up the membership_status variable. Let's break this down into steps:
# Recode membership_status to "Closed" if NA, "Open" otherwise
clubs$membership_status <- ifelse(is.na(clubs$membership_status), "Closed", "Open")
# Reorder columns to put membership_status first
clubs <- clubs[, c("membership_status", setdiff(names(clubs), "membership_status"))]
# Display first 10 rows
head(clubs, 10)
This code will:
- Use
ifelse()
to recode the variable based on whether it's NA - Reorder the columns to put membership_status first
- Show the first 10 rows of the modified dataset
Would you like me to explain any part of this solution in more detail?
Can you suggest an answer that uses the tidyverse instead of base R?
Here's how to accomplish the same tasks using tidyverse functions:
clubs <- clubs %>%
mutate(membership_status = if_else(is.na(membership_status),
"Closed",
"Open")) %>%
relocate(membership_status)
clubs %>%
head(10)
This tidyverse solution:
- Uses
mutate()
withif_else()
to recode the variable - Uses
relocate()
to move membership_status to the front - Shows the first 10 rows using
head()
The tidyverse version is more readable and follows the principle of chaining operations with the pipe operator (%>%
). if_else()
is the tidyverse equivalent of base R's ifelse()
, with stricter type checking.
Would you like me to explain any of these functions in more detail?
Can you rewrite the code using the base pipe operator?
Here's the same code using the base pipe operator |>
instead of the tidyverse %>%
:
clubs <- clubs |>
mutate(membership_status = if_else(is.na(membership_status),
"Closed",
"Open")) |>
relocate(membership_status)
clubs |>
head(10)
The functionality is exactly the same - the only difference is using |>
instead of %>%
. The base pipe was introduced in R 4.1.0 and is now built into R, so you don't need to load any packages to use it.
Can you rewrite it again using tidyverse code style?
Here's the code rewritten following tidyverse style conventions (spaces around operators, consistent indentation, one line per argument):
clubs <- clubs |>
mutate(
membership_status = if_else(
is.na(membership_status),
"Closed",
"Open"
)
) |>
relocate(membership_status)
clubs |>
head(10)
The main style changes are:
- Each function argument gets its own line
- Nested function calls are indented
- Arguments line up vertically for better readability
- Function arguments start on the line after the function name
The code does exactly the same thing as before, it's just formatted to be more readable following tidyverse conventions.
Actually, the
mutate()
call is not that long. It should all go on one line.
Ah yes, you're right! Here's the code with the mutate() call on a single line since it's not too long:
clubs <- clubs |>
mutate(membership_status = if_else(is.na(membership_status), "Closed", "Open")) |>
relocate(membership_status)
clubs |>
head(10)
This version is cleaner since there's no need to split up the relatively simple mutate()
call across multiple lines. The tidyverse style guide suggests splitting lines only when they get too long or complex.
If clubs is a tibble, it'll only print out the first 10 rows anyway.
Ah, you're absolutely right! If clubs
is a tibble, I can simply do:
clubs <- clubs |>
mutate(membership_status = if_else(is.na(membership_status), "Closed", "Open")) |>
relocate(membership_status)
clubs
Tibbles automatically limit their output to the first 10 rows by default (and also intelligently adjust based on the console width), so there's no need for the explicit head()
call. This makes the code simpler and cleaner.