The dataframe is at the core of the tidy way of working and we tend to think of it as a spreadsheet-like rectangular data container with only a single value in each cell. In fact, dataframes can be nested—that is, they can hold other dataframes in specific, single cells. This is achieved internally by replacing a dataframe's vector column with a list column. Each cell is instead a member of a list, so any sort of object can be held within the conceptual single cell of the outer dataframe. In this recipe, we'll look at ways of making a nested dataframe and different ways of working with it.
Using nested dataframes
Getting ready
We'll need the tidyr, dplyr, purrr, and magrittr libraries. We'll also...
