Modern R Programming Cookbook

How to do it...

Here are the following few steps to complete this recipe:

1. Import the dataset.
2. Write the customized function.
3. Use the newly defined function in the dplyr framework.

Here are the necessary code blocks to implement all the preceding three steps:

        USAairlineData2016 <- read.csv("USAairlineData2016.csv", as.is                = T)        # the new customized function to calculate summary statistics        fourNumSum <- function(x){         MIN_DELAY = min(x, na.rm=T)         MEAN_DELAY = mean(x, na.rm=T)         MEDIAN_DELAY = median(x, na.rm=T)         MAX_DELAY = max(x, na.rm=T)         return(data.frame(MIN_DELAY=MIN_DELAY, MEAN_DELAY=MEAN_DELAY,           MEDIAN_DELAY=MEDIAN_DELAY, MAX_DELAY=MAX_DELAY))        }

4. Now, the fourNumSum function will be used within the dplyr framework to carry out the task as ...