count_gaps: Count implicit gaps

In tsibble: Tidy Temporal Data Frames and Tools

Count implicit gaps

Description

Count implicit gaps

Usage

count_gaps(
  .data,
  .full = FALSE,
  .name = c(".from", ".to", ".n"),
  .start = NULL,
  .end = NULL
)

Arguments

.data	A tsibble.
.full	FALSE inserts NA for each keyed unit within its own period. TRUE fills NA over the entire time span of the data (a.k.a. fully balanced panel). start() pad NA to the same starting point (i.e. ⁠min(<index>)⁠) across units. end() pad NA to the same ending point (i.e. ⁠max(<index>)⁠) across units.
.name	Strings to name new columns.
.start, .end	Set custom starting/ending time that allows to expand the existing time spans.

Value

A tibble contains:

• the "key" of the tbl_ts

• ".from": the starting time point of the gap

• ".to": the ending time point of the gap

• ".n": the number of implicit missing observations during the time period

See Also

Other implicit gaps handling: fill_gaps(), has_gaps(), scan_gaps()

Examples

ped_gaps <- pedestrian %>%
  count_gaps(.full = TRUE)
ped_gaps
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  stop("Please install the ggplot2 package to run these following examples.")
}
library(ggplot2)
ggplot(ped_gaps, aes(x = Sensor, colour = Sensor)) +
  geom_linerange(aes(ymin = .from, ymax = .to)) +
  geom_point(aes(y = .from)) +
  geom_point(aes(y = .to)) +
  coord_flip() +
  theme(legend.position = "bottom")

tsibble documentation built on June 27, 2024, 5:06 p.m.