R: Calculate correlation between forecasts and observations, and...

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]