Description Usage Arguments Value Author(s) Examples
Computation of mean relative diffenence and standard deviation for station / sensor network.
| 1 | 
| data | zoo object, containing measures of a variable, e.g. volumetric soil moisture content | 
| MRD  | mean relative difference for each realisation (station / sensor) | 
| SDRD  | standard deviation of reltive difference for each realisation (station / sensor) | 
Johannes Brenner, Johannes.Brenner@eurac.edu
| 1 2 3 4 5 6 7 8 9 10 11 12 | #load SMC data B2 station
  data(B2_VolSoilMoisture)
#MRD analysis with sensors best sensors in 5 cm, timeframe: from "2010-05-01"
  mrd_data <- window(B2_VolSoilMoisture[,c(4,5,6,7,9)],
                      start = as.chron(as.Date("2010-05-01")), 
                      end =  tail(time(B2_VolSoilMoisture),1))
  mrd_data_naApprox <- na.approx(object = mrd_data)
  ( mrd <- MRD(data = mrd_data_naApprox) )
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