gofCV: Coefficient of Variation.
In ehaGoF: Calculates Goodness of Fit Statistics

Description Usage Arguments Value Author(s) References Examples

Calculates and returns goodness of fit - coefficient of variation (CV).

1	gofCV(Obs, Prd, dgt=3)

`Obs`	Observed or measured values or target vector.
`Prd`	Predicted or fitted values by the model. Values produced by approximation or regression.
`dgt`	Number of digits in decimal places. Default is 3.

CoeficientOfVariation

Goodness of fit - coefficient of variation (CV).

Prof. Dr. Ecevit Eyduran, TA. Alper Gulbe

Comparison of Different Data Mining Algorithms for Prediction of Body Weight From Several Morphological Measurements in Dogs - S Celik, O Yilmaz

# dummy inputs, independent variable
# integers from 0 to 19
inputs <- 0:19

# dummy targets/observed values, dependent variable
# a product of 2*times inputs minus 5 with some normal noise
targets <- -5 + inputs*1.2 + rnorm(20)

# linear regression model
model<-lm(targets~inputs)

# model's predicted values against targets
predicted<-model$fitted.values

# using library ehaGoF for goodness of fit.
library(ehaGoF)

# Goodness of fit - coefficient of variation (CV)
gofCV(targets, predicted)