hydroGOF (version 0.4-0)

rSD: Ratio of Standard Deviations

Description

Ratio of standard deviations between sim and obs, with treatment of missing values.

Usage

rSD(sim, obs, ...)
# S3 method for default
rSD(sim, obs, na.rm=TRUE, ...)
# S3 method for data.frame
rSD(sim, obs, na.rm=TRUE, ...)
# S3 method for matrix
rSD(sim, obs, na.rm=TRUE, ...)
# S3 method for zoo
rSD(sim, obs, na.rm=TRUE, ...)

Arguments

sim

numeric, zoo, matrix or data.frame with simulated values

obs

numeric, zoo, matrix or data.frame with observed values

na.rm

a logical value indicating whether 'NA' should be stripped before the computation proceeds. When an 'NA' value is found at the i-th position in obs OR sim, the i-th value of obs AND sim are removed before the computation.

…

further arguments passed to or from other methods.

Value

Ratio of standard deviations between sim and obs.

If sim and obs are matrixes, the returned value is a vector, with the ratio of standard deviations between each column of sim and obs.

See Also

sd, rsr, gof, ggof

Examples

# NOT RUN {
sim <- 1:10
obs <- 1:10
rSD(sim, obs)

sim <- 2:11
obs <- 1:10
rSD(sim, obs)

##################
# Loading daily streamflows of the Ega River (Spain), from 1961 to 1970
data(EgaEnEstellaQts)
obs <- EgaEnEstellaQts

# Generating a simulated daily time series, initially equal to the observed series
sim <- obs 

# Computing the 'rSD' for the "best" (unattainable) case
rSD(sim=sim, obs=obs)

# Randomly changing the first 2000 elements of 'sim', by using a normal distribution 
# with mean 10 and standard deviation equal to 1 (default of 'rnorm').
sim[1:2000] <- obs[1:2000] + rnorm(2000, mean=10)

# Computing the new 'rSD'
rSD(sim=sim, obs=obs)
# }