hsFillUp: Fill-up with Missing Timestamps
In KWB-R/kwb.base: Functions supporting data analysis with R at KWB

hsFillUp

R Documentation

Fill-up with Missing Timestamps

Description

Based on the time series given in "tseries" a new time series is generated in which timestamps that are lacking in tseries are included. Optionally missing values are generated by interpolation between existing values.

Usage

hsFillUp(
  tseries,
  tsField = names(tseries)[kwb.utils::posixColumnAtPosition(tseries)[1]],
  step_s = 60,
  forceStep = TRUE,
  limits = NULL,
  interpol = TRUE,
  includeOrig = TRUE,
  default = NA,
  dbg = FALSE
)

Arguments

`tseries`	data frame representing a time-series of values
`tsField`	Name of timestamp column in tseries. Default: name of first available POSIXt-column
`step_s`	Time step in seconds that shall lie between consecutive timestamps. Non-existing timestamps are generated.
`forceStep`	If TRUE, only timestamps that are multiples of the time step given in step_s are put into the result data frame
`limits`	data frame or matrix with exactly two columns containing first and last timestamp of intervals for which timestamps are to be generated.
`interpol`	if TRUE, the returned data frame will for each value column contain a corresponding column containing interpolated values
`includeOrig`	if TRUE and interpol = TRUE the original columns will remain in the output in addition to the columns containing all (original plus interpolated) values.
`default`	value to be used if there are not enough (at least to) non-NA values to be used for interpolation. Default: NA
`dbg`	If TRUE, debug messages are shown