evaluation.criteria: Calcule multiple goodness-of-fit criteria

In ZeBook: Working with Dynamic Models for Agriculture and Environment

Description

This function is depreciated and will be remove from the package in future versions. Please use goodness.of.fit

Usage

evaluation.criteria(Ypred, Yobs, draw.plot = FALSE)

Arguments

Ypred	: prediction values from the model
Yobs	: observed values
draw.plot	: draw evaluation plot

Value

data.frame with the different evaluation criteria

Examples

# observed and simulated values
obs<-c(78,110,92,75,110,108,113,155,150)
sim<-c(126,126,126,105,105,105,147,147,147)
evaluation.criteria(sim,obs,draw.plot=TRUE)

Example output

  Nobs mean.Yobs mean.Ypred std.Yobs std.Ypred  SSE      MSE     RMSE         r
1    9  110.1111        126 26.26973  17.14643 5879 653.2222 25.55821 0.6475264
  bias.Squared     SDSD      LCS         EF
1     252.4568 83.23465 317.5308 0.05343662
Warning message:
In evaluation.criteria(sim, obs, draw.plot = TRUE) :
  this function is depreciated, please use now goodness.of.fit

ZeBook documentation built on May 1, 2019, 9:48 p.m.