ccf_multievent: Multi-event based ccf approach, including lagtimes and SNR

In marcianito/UmbrellaEffect: Gravity data reduction procedure (related to the shielding of its building)

Description

Input events are filtered by SNR and optionally correlation and lagtime thresholds. The filtered datasets are then cross-correlated.

The resulting correlation coefficents, lagtimes and statistics are plotted and returned in form of a table (data frame).

So far hard-coded for SM data of wettzell SGnew TS

Usage

ccf_multievent(events, mv_win, nmax, limit_cor, correct_cor = T, limit_lag,
  correct_lag = T, plotting = T)

Arguments

events	data.frame of events; each row limits one event, event[,1] = start dates, event[,2] = end dates, event[,3] = event name.
mv_win	length of window for moving average to smooth data in order to calculate signal to noise ratios.
nmax	number of outputs of correlation.
limit_cor	threshold for correlation coefficient values; all values below limit_cor will be discarted.
correct_cor, correct_lag	logical. should these quality filters be applied (TRUE, default) or only be included into statistics (done always).
limit_lag	threshold for lagtime values; all values above limit_lag will be discarted.
plotting	logical, should the results be plotted? (default is TRUE).

Details

Output is a data.frame with mean values for correlation coeficients, lagtime and quality of signal to soise ratio.

References

Marvin Reich (2015), [e-mail]

marcianito/UmbrellaEffect documentation built on July 1, 2019, 8:30 p.m.