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.
fillup(tseries, tsField, step_s, forceStep, interpol, includeOrig, default = NA, dbg = FALSE)
| 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 |
| 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 |
Returns a data.frame