Maturing lifecycle

has_gaps(.data, .full = FALSE, ...)

Arguments

.data

A tbl_ts.

.full

FALSE to find gaps for each series within its own period. TRUE to find gaps over the entire time span of the data.

...

Other arguments passed on to individual methods.

Value

A tibble contains "key" variables and new column .gaps of TRUE/FALSE.

See also

Other implicit gaps handling: count_gaps, fill_gaps, scan_gaps

Examples

harvest <- tsibble( year = c(2010, 2011, 2013, 2011, 2012, 2013), fruit = rep(c("kiwi", "cherry"), each = 3), kilo = sample(1:10, size = 6), key = fruit, index = year ) has_gaps(harvest)
#> # A tibble: 2 x 2 #> fruit .gaps #> <chr> <lgl> #> 1 cherry FALSE #> 2 kiwi TRUE
has_gaps(harvest, .full = TRUE)
#> # A tibble: 2 x 2 #> fruit .gaps #> <chr> <lgl> #> 1 cherry TRUE #> 2 kiwi TRUE