count_difftime {LightLogR} | R Documentation |
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 |
Datetime.colname |
column name that contains the datetime. Defaults to
|
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()
[Package LightLogR version 0.3.8 Index]