Dealing with data 1

In the previous two chapters we experienced/demonstrated a data analysis workflow about variation in the diets of bats. In this and the next few chapters we will take a deeper dive into the details of R and of concepts. In this chapter, you will become much better acquainted with the wonderful world of the dplyr package. We look more carefully at the some of the core dplyr functions: ‘select’ (get some columns), ‘mutate’ (make a new column), ‘filter’ (get some rows), ‘arrange’ (order the rows), ‘group_by’ (add grouping information), and ‘summarise’ (calculate summary information about groups).