gapless_Datetimes: Create a gapless sequence of Datetimes

In LightLogR: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters

Create a gapless sequence of Datetimes

Description

Create a gapless sequence of Datetimes. The Datetimes are determined by the minimum and maximum Datetime in the dataset and an epoch. The epoch can either be guessed from the dataset or specified by the user.

Usage

gapless_Datetimes(
  dataset,
  Datetime.colname = Datetime,
  epoch = "dominant.epoch",
  full.days = FALSE
)

Arguments

dataset	A light logger dataset. Needs to be a dataframe.
Datetime.colname	The column that contains the datetime. Needs to be a POSIXct and part of the dataset.
epoch	The epoch to use for the gapless sequence. Can be either a lubridate::duration() or a string. If it is a string, it needs to be either '"dominant.epoch"' (the default) for a guess based on the data or a valid lubridate::duration() string, e.g., "1 day" or "10 sec".
full.days	If TRUE, the gapless sequence will include the whole first and last day where there is data.

Value

A tibble with a gapless sequence of Datetime as specified by epoch.

See Also

Other regularize: dominant_epoch(), gap_finder(), gap_handler()

Examples

  dataset <- 
  tibble::tibble(Id = c("A", "A", "A", "B", "B", "B"),
                 Datetime = lubridate::as_datetime(1) +
                 lubridate::days(c(0:2, 4, 6, 8))) %>% 
                 dplyr::group_by(Id)
  
  dataset %>% gapless_Datetimes()
  dataset %>% dplyr::ungroup() %>%  gapless_Datetimes()
  dataset %>% gapless_Datetimes(epoch = "1 day")

LightLogR documentation built on April 3, 2025, 10:10 p.m.