build_pibble: Low-level constructor for a pibble object
In pmdplyr: 'dplyr' Extension for Common Panel Data Maneuvers

build_pibble() creates a tbl_pb object with more controls. It is useful for creating a tbl_pb internally inside a function.

1	build_pibble(tbl, .i = NA, .t = NA, .d = 1, .uniqcheck = FALSE)

`.i`	Quoted variable name(s) that identify the individual cases. If this is omitted, `pibble` will assume the data set is a single time series.
`.t`	Quoted variable name indicating the time. `pmdplyr` accepts two kinds of time variables: numeric variables where a fixed distance `.d` will take you from one observation to the next, or, if `.d=0`, any standard variable type with an order. Consider using the `time_variable()` function to create the necessary variable if your data uses a `Date` variable for time.
`.d`	Number indicating the gap in `t` between one period and the next. For example, if `.t` indicates a single day but data is collected once a week, you might set `.d=7`. To ignore gap length and assume that "one period ago" is always the most recent prior observation in the data, set `.d=0`. By default, `.d=1`.
`.uniqcheck`	Logical parameter. Set to TRUE to perform a check of whether `.i` and `.t` uniquely identify observations, and present a message if not. By default this is set to FALSE and the warning message occurs only once per session.
`.df`	Data frame or tibble to declare as a panel.

Be aware that pibble objects store .i and .t as strings. As a low-level constructor, build_pibble() takes only character arguments for .i and .t, not unquoted variables.

For speed, build_pibble() does not check the adequacy of the inputs.

pmdplyr documentation built on July 2, 2020, 4:08 a.m.