LightLogR (version 0.3.8)

dominant_epoch: Determine the dominant epoch/interval of a dataset

Description

Calculate the dominant epoch/interval of a dataset. The dominant epoch/interval is the epoch/interval that is most frequent in the dataset. The calculation is done per group, so that you might get multiple variables. If two or more epochs/intervals are equally frequent, the first one (shortest one) is chosen.

Usage

dominant_epoch(dataset, Datetime.colname = Datetime)

Value

A tibble with one row per group and a column with the dominant.epoch as a lubridate::duration(). Also a column with the group.indices, which is helpful for referencing the dominant.epoch

across dataframes of equal grouping.

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.

See Also

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

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)))
dataset
#get the dominant epoch by group
dataset %>%
dplyr::group_by(Id) %>%
dominant_epoch()

#get the dominant epoch of the whole dataset
dataset %>%
dominant_epoch()