Modern R Programming Cookbook

How to do it...

Let's take a look at the following steps to see how we can use the filter() verb for data processing:

1. Import the dataset from the CSV file and then apply the filter() verb from the dplyr library as follows:

        USAairlineData2016 <- read.csv("USAairlineData2016.csv", as.is            = T)        filterExample <- USAairlineData2016 %>%        filter(DEP_DELAY>30)

2. Alternatively, the filter() code can be written without using the pipe operator as follows:

        filterExample2 <- filter(USAairlineData2016, DEP_DELAY>30)

3. The base R functionality to achieve a similar task is as follows:

        filterExample3 <- USAairlineData2016        [USAairlineData2016$DEP_DELAY>30,]

However, the base R approach takes a bit longer than the dplyr approach.