count_difftime: Counts the Time differences (epochs) per group (in a grouped...

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

Counts the Time differences (epochs) per group (in a grouped dataset)

Description

Counts the Time differences (epochs) per group (in a grouped dataset)

Usage

count_difftime(dataset, Datetime.colname = Datetime)

Arguments

dataset	A light logger dataset. Expects a dataframe. If not imported by LightLogR, take care to choose a sensible variable for the Datetime.colname.
Datetime.colname	column name that contains the datetime. Defaults to "Datetime" which is automatically correct for data imported with LightLogR. Expects a symbol. Needs to be part of the dataset. Must be of type POSIXct.

Value

a tibble with the number of occurences of each time difference per group

Examples

#get a dataset with irregular intervals
filepath <- system.file("extdata/sample_data_LYS.csv", package = "LightLogR")
dataset <- import$LYS(filepath)

#count_difftime returns the number of occurences of each time difference
#and is more comprehensive in terms of a summary than `gap_finder` or 
#`dominant_epoch`
count_difftime(dataset)
dominant_epoch(dataset)
gap_finder(dataset)

#irregular data can be regularized with `aggregate_Datetime`
dataset %>% aggregate_Datetime(unit = "15 secs") %>% count_difftime()

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