Recode variables
This exercise picks up where you left off in the previous exercise. In this exercise you will continue to modify your abaloneMod
dataset by adding more variables.
Specifically, you will recode the new age
variable into two ordinal categories split at the median. You will also create a new variable adult
to identify the abalones that are immature infants (i.e. sex = "I"
) from the adults (sex = "F" or "M"
).
At the end you will view these new variables and compare them to the original variables to check your recoding results. The previous abaloneMod
dataset and dplyr
package have been loaded for you.
This exercise is part of the course
R For SAS Users
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Add new character variable agecat to abaloneMod
abaloneMod <- abaloneMod %>%
mutate(agecat = ifelse(test = ___,
yes = ___,
no = ___))