time_nest: Nest a 'tbl_time' to a specified time period
In DavisVaughan/tibbletime3:

Description Usage Arguments Details Examples

'time_nest' allows for quick nesting of 'tbl_time' objects by period so that manipulation can be performed on each period's data set individually. See [tidyr::nest()] for information on nesting generally.

1 2	time_nest(data, period = "yearly", ..., .key = "data", keep_inner_dates = TRUE)

`data`	A 'tbl_time' object.
`period`	A formula or character specification used for time-based grouping. If a formula, e.g. '1~year', the formula is split and parsed to form the grouping period. The 'period' argument accepts a formula of the form 'multiple ~ period' allowing for flexible period grouping. The following are examples: * 1 Year: '1~y' * 3 Months: '3~m' * 90 Days: '90~d' Note that while shorthand is used above, an attempt is made to recognize more explicit period names such as: * 2 Year: '2~year' / '2~years' / '2~yearly' The 'period' argument also accepts characters that are converted to their corresponding periods. The following are accepted: * '"yearly"' or '"y"' * '"quarterly"' or '"q"' * '"monthly"' or '"m"' * '"weekly"' or '"w"' * '"daily"' or '"d"' * '"hour"' or '"h"' * '"minute"' or '"M"' * '"second"' or '"s"'
`...`	Used to specify columns you do not want in the nest. Specified as '-col_name'.
`.key`	The name of the new column, as a string or symbol. This argument is passed by expression and supports quasiquotation (you can unquote strings and symbols). The name is captured from the expression with `rlang::quo_name()` (note that this kind of interface where symbols do not represent actual objects is now discouraged in the tidyverse; we support it here for backward compatibility).
`keep_inner_dates`	Whether to add dates to each nested object as the column, '.date'.

As an example, nesting by a '"yearly"' period will return a 'tbl_time' object with a date column containing the dates at the end of each year, and a list-column of smaller 'tbl_time' objects containing all of the data for that year.

Because it is likely the case that the original dates will be required inside the nested 'tbl_time' objects for further manipulation, the original dates are kept as a '.date' column in each 'tbl_time' object in the list-column.

This function respects [dplyr::group_by()] groups.

# Basic functionality -------------------------------------------------------

data(FB)
FB <- as_tbl_time(FB, date)

# Nest yearly
time_nest(FB, "yearly")

# Nest yearly, but don't drag symbol into the nest
time_nest(FB, "yearly", -symbol)

# Nest quarterly
time_nest(FB, "quarterly")

# Grouped functionality -----------------------------------------------------

data(FANG)
FANG <- as_tbl_time(FANG, date) %>%
  dplyr::group_by(symbol)

# Nest yearly, but by group
FANG %>%
  time_nest("yearly")