Corr {SpecsVerification} | R Documentation |
Calculate correlation between forecasts and observations, and assess uncertainty
Description
Calculate correlation between forecasts and observations, and assess uncertainty
Usage
Corr(fcst, obs, N.eff = NA, conf.level = 0.95, handle.na = "na.fail")
Arguments
fcst |
vector of forecasts |
obs |
vector of observations |
N.eff |
user-defined effective sample size to be used in hypothesis test and for confidence bounds; if NA, the length of 'obs' is used after removing missing values; default: NA |
conf.level |
confidence level used the confidence interval; default = 0.95 |
handle.na |
how should missing values in forecasts and observations be handled; possible values are 'na.fail' and 'use.pairwise.complete'; default: 'na.fail' |
Value
vector with correlation, one-sided p-value, and central confidence interval at the user-defined confidence level
References
Von Storch, Zwiers (2001): Statistical analysis in climate research. Cambridge University Press.
See Also
CorrDiff
Examples
data(eurotempforecast)
Corr(rowMeans(ens), obs)
[Package SpecsVerification version 0.5-3 Index]