RMSEP: Root Mean Square Error of Prediction (RMSEP)

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

Root Mean Square Error of Prediction (RMSEP)

Description

This function computes the Root Mean Square Error of Prediction (RMSEP), a commonly used measure for the predictive capacity of a model. It compares values predicted with a model with observed values.

Usage

RMSEP(predicted, observed, na.rm = FALSE)

Arguments

predicted	a numeric vector containing predicted values.
observed	a numeric vector of the same length as “'predicted“' containing observed values.
na.rm	Boolean parameter indicating whether NA values should be removed before the analysis

Value

numeric value of the RMSEP.

Author(s)

Eike Luedeling

Examples

predicted<-c(1,2,3,4,5,6,7,8,9,10)
observed<-c(1.5,1.8,3.3,3.9,4.4,6,7.5,9,11,10)

RMSEP(predicted,observed)

chillR documentation built on Nov. 28, 2023, 1:09 a.m.