spectrace_regularise_data: Regularise (date)time vector

In steffenhartmeyer/spectrace: Functions for importing and processing raw Spectrace output

Regularise (date)time vector

Description

This function fills in gaps in a data frame containing time series data.

Usage

spectrace_regularise_data(
  lightData,
  timeVar,
  sampling_int = NULL,
  startVar = NULL,
  endVar = NULL
)

Arguments

lightData	(Grouped) data to be regularised.
timeVar	Column containing the time data. Can be POSIXct or numeric.
sampling_int	Numeric. Sampling interval (in seconds if 'timeVar' is POSIXct). If not specified, the minimum difference between consecutive rows of 'timeVar' is used (default).
startVar	Column indicating the start of the interval to be regularised. Can be POSIXct or numeric. If not specified, the first element of the 'timeVar' vector will be taken (default).
endVar	Column indicating the end of the interval to be regularised. Can be POSIXct or numeric. If not specified, the last element of the 'timeVar' vector will be taken (default).

Value

Regularised time data.

steffenhartmeyer/spectrace documentation built on Dec. 4, 2024, 4:13 p.m.