Compare observations and simulations and apply wilcoxon R test

Return data.frame with Correlation, MeanBias, SD, RSME and wilcoxon p.value

verify(
  dfobs,
  dfmod,
  x,
  Station = "Station",
  time = "LT",
  time_spinup,
  conf.level.p = 0.95,
  conf.level.w = 0.95
)

Arguments

dfobs	data.frame in long format with columns must be Station, x and time
dfmod	data.frame in long format with columns must be Station, x and time
x	Character; name of the column with the parameter
Station	Character; name of the column with the stations
time	Character; name of the time column with class POSIXct.
time_spinup	Character; time to filter
conf.level.p	Pearson confidence level for the returned confidence interval. Currently only used for the Pearson product moment correlation coefficient if there are at least 4 complete pairs of observations. default = 0.95
conf.level.w	Wilcox confidence level of the interval. default = 0.95

Value

Return data.framee or list of raster and df

Examples

if (FALSE) {
# do not run
# Columns must be Station, x and time
verify(dfobs = df_co[df_co$data == "CETESB", 1:3],
       dfmod = df_co[df_co$data == "2016", 1:3],
       x = "co",
       time_spinup = ISOdatetime(2016,4,8,12,0,0))
}