The %>% operator in R is a pipe operator that allows you to chain together multiple functions in a single expression. This can make your code more concise and easier to read.
For example, the following code uses the %>% operator to calculate the mean of o3 and no2 within quintiles of pm25:
mutate(chicago, pm25.quint = cut(pm25, qq)) %>%
group_by(pm25.quint) %>%
summarize(o3 = mean(o3tmean2, na.rm = TRUE),
no2 = mean(no2tmean2, na.rm = TRUE))
Without the %>% operator, this code would be more difficult to read and write:
chicago <- mutate(chicago, pm25.quint = cut(pm25, qq))
chicago <- group_by(chicago, pm25.quint)
chicago <- summarize(chicago, o3 = mean(o3tmean2, na.rm = TRUE),
no2 = mean(no2tmean2, na.rm = TRUE))
The %>% operator can be used with any function that takes a data frame as its input. This makes it a very powerful tool for data analysis.
Benefits
- It makes your code more concise and easier to read.
- It allows you to chain together multiple functions in a single expression.
- It can help you to avoid creating temporary variables.
- It can make your code more reusable.
