qualityMeasure: qualityMeasure

In pik-piam/luplot: Landuse Plot Library

qualityMeasure

Description

Function that returns several efficiency indices of model performance wrt observed data

Usage

qualityMeasure(pd, od, wt, measures=c("Willmott",
"Nash Sutcliffe"),p_value=FALSE)

Arguments

pd	Predicted data. Format required: numeric vector.
od	Observed data. Must be the same format and length as pd.
wt	A vector of weights. The same length as pd and od. Missing weights are interprated as all weights equal to 1.
measures	A vector of supported statistical measures. Currently available are: "Willmott", "Willmott refined", "Nash Sutcliffe", "RMSE", "MAE", "Pearson","Kendall","Spearman".
p_value	p_value=TRUE,reports significance level of Pearson, Kendall and Spearmann coefficients.

Value

Returns a numeric vector with calculated measures. Names of vector elements are the measures applied.

Author(s)

Misko Stevanovic,Xiaoxi Wang

Examples

## Not run: 
od <- rnorm(1000)
pd <- rnorm(1000)

qualityMeasure(pd,od)
qualityMeasure(pd,od,measures=c("RMSE","Pearson","Willmott refined"))

## End(Not run)

pik-piam/luplot documentation built on Jan. 29, 2025, 12:30 a.m.