continuousTimeIntervals: Force data into predefined time intervals

In KWB-R/kwb.misa: Functions to be Used in Project MiSa

Force data into predefined time intervals

Description

The measurements are fitted into timesteps defined be the first point of time and a temporal resolution

Usage

continuousTimeIntervals(
  time_vector,
  data_vector,
  res = 15,
  first_pointOfTime = min(time_vector, na.rm = T),
  last_pointOfTime = max(time_vector, na.rm = T)
)

Arguments

time_vector	A POSIXct vector
data_vector	A numeric vector, with data corresponding to the time_vector
res	Temporal resolution in minutes
first_pointOfTime	Starting point (POSIXct) of the newly defined time series. By default the minimum of the time_vector
last_pointOfTime	End point (POSIXct) of the newly defined time series. By default the maximum of the time_vector

Details

In a first step a vactor is generated with continuous timesteps, starting at first_pointOfTime by a defined time interval. Subsequently, the measured data is forced into timesteps with a similar time interval. Here, the measurements are assigned to the timestep that is closest to the actual time of measurements. If more than one measurement are assigned to one timestep, the average is used. If there is no measurement, NA is used.

Value

Dataframe with POSIX column "t" and data column "d"

KWB-R/kwb.misa documentation built on March 18, 2022, 9:56 a.m.