Creating pivot tables with tidyquant

The pivot_table() function from the tidyquant library is a useful tool for creating summary tables from data frames in R. It allows you to specify the rows, columns, values, and aggregation functions for your table and to employ other options such as sorting, formatting, and filtering.

To use the pivot_table() function, you need to load the tidyquant library first by using the library(tidyquant) command. Then, you can pass your data frame as the first argument to the function, followed by the other arguments that define your table. For example, if you want to create a table that shows the average sepal length and sepal width of different iris species, you can use the following code:

# Load the tidyquant library
library(tidyquant)
library(purrr)
# Create a pivot table
pivot_table(.data = iris,
            .rows = ~ Species,
          ...