Chaining operations in dplyr

To perform multiple operations on data using dplyr, we can wrap up the function calls into a larger function call. Or, we can use the %>% chaining operator to chain operations instead. In this recipe, we introduced how to chain operations when using dplyr.

Getting ready

Ensure that you completed the Enhancing a data.frame with a data.table recipe to load purchase_view.tab and purchase_order.tab as both data.frame and data.table into your R environment.

How to do it…

Perform the following steps to subset and slice data with dplyr:

1. In R, to sum up a sequence from 1 to 10, we can wrap the series of 1 to 10 with the sum function:

   > sum(1:10)
   [1] 55
   

2. Alternatively, we can use a chaining operator to chain operations:

   > 1:10 %>% sum()
   [1] 55
   

3. To select and filter data with dplyr, we can wrap the filtered data in a select function:

   > select.p.price.over.1000 <- select(filter(order.dt, Price >= 1000 ), contains('P') )
   > head(select.p.price.over.1000,...