get_GOF: get_GOF

In phenofit: Extract Remote Sensing Vegetation Phenology

get_GOF

Description

Goodness-of-fitting (GOF) of fine curve fitting results.

Usage

get_GOF(x, ...)

## S3 method for class 'list'
get_GOF(x, ...)

## S3 method for class 'fFITs'
get_GOF(x, ...)

## S3 method for class 'fFIT'
get_GOF(x, data, ...)

Arguments

x	fFITs object returned by curvefit(), or list of fFITs objects
...	ignored.
data	A data.frame with the columns of c('t', 'y')

Value

• meth: The name of fine curve fitting method

• RMSE: Root Mean Square Error

• NSE : Nash-Sutcliffe model efficiency coefficient

• R : Pearson-Correlation

• R2 : determined coefficient

• pvalue: pvalue of R

• n : The number of observations

References

1. https://en.wikipedia.org/wiki/Nash-Sutcliffe_model_efficiency_coefficient
   

2. https://en.wikipedia.org/wiki/Pearson_correlation_coefficient

See Also

curvefit()

Examples

library(phenofit)
# simulate vegetation time-series
FUN = doubleLog.Beck
par  = c( mn  = 0.1, mx  = 0.7, sos = 50, rsp = 0.1, eos = 250, rau = 0.1)
t    <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
y <- FUN(par, t)
methods <- c("AG", "Beck", "Elmore", "Gu", "Zhang") # "Klos" too slow
fit <- curvefit(y, t, tout, methods) # `fFITs` (fine-fitting) object 
fits <- list(`2001` = fit, `2002` = fit) # multiple years

l_param   <- get_param(fits)
d_GOF     <- get_GOF(fits)
d_fitting <- get_fitting(fits)
l_pheno   <- get_pheno(fits, "AG", IsPlot=TRUE)

phenofit documentation built on Feb. 16, 2023, 6:21 p.m.