as_pibble: Coerce to a pibble panel data set object
In pmdplyr: 'dplyr' Extension for Common Panel Data Maneuvers

Description Usage Arguments Details Examples

This function coerces a tibble, data.frame, or list to a pibble tibble by adding the .i, .t, and .d attributes to it.

as_pibble(x, .i = NULL, .t = NULL, .d = 1, .uniqcheck = FALSE, ...)

## S3 method for class 'tbl_df'
as_pibble(x, .i = NULL, .t = NULL, .d = 1, .uniqcheck = FALSE, ...)

## S3 method for class 'grouped_df'
as_pibble(x, .i = NULL, .t = NULL, .d = 1, .uniqcheck = FALSE, ...)

## S3 method for class 'data.frame'
as_pibble(x, .i = NULL, .t = NULL, .d = 1, .uniqcheck = FALSE, ...)

## S3 method for class 'list'
as_pibble(x, .i = NULL, .t = NULL, .d = 1, .uniqcheck = FALSE, ...)

`x`	A data frame, tibble or list
`.i`	Quoted or unquoted variable(s) that identify the individual cases. If this is omitted, `pibble` will assume the data set is a single time series.
`.t`	Quoted or unquoted variable 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.
`...`	Other arguments passed on to individual methods.

.i, Quoted or unquoted variable(s) indicating the individual-level panel identifier
.t, Quoted or unquoted variable indicating the time variable
.d, a number indicating the gap

Note that pibble does not require that .i and .t uniquely identify the observations in your data, but it will give a warning message (a maximum of once per session, unless .uniqcheck=TRUE) if they do not.

data(SPrail)
# I set .d=0 here to indicate that I don't care how large the gap
# between one period and the next is.
# If I want to use 'insert_date' for .t with a fixed gap between periods,
# I need to transform it into an integer first; see time_variable()
SP <- as_pibble(SPrail,
  .i = c(origin, destination),
  .t = insert_date,
  .d = 0
)
is_pibble(SP)
attr(SP, ".i")
attr(SP, ".t")
attr(SP, ".d")

data(Scorecard)
# Here, year is an integer, so I can use it with .d = 1 to
# indicate that one period is a change of one unit in year
# Conveniently, .d = 1 is the default
Scorecard <- as_pibble(Scorecard, .i = unitid, .t = year)
is_pibble(Scorecard)