Description Usage Arguments Value Author(s) References Examples

Calculates and returns adjusted coefficient of determination (adjusted R-squared).

1 | ```
gofACoD(Obs, Prd, nTermInAppr = 2, dgt = 3)
``` |

`Obs` |
Observed or measured values or target vector. |

`Prd` |
Predicted or fitted values by the model. Values produced by approximation or regression. |

`nTermInAppr` |
Number of terms in approximation or regression models formula, interception included. For simple linear regression with one independent variable is simply 2. Default is 2. |

`dgt` |
Number of digits in decimal places. Default is 3. |

`AdjustedCoefficientofDetermination` |
Goodness of fit - adjusted coefficient of determination (adjusted R-squared) |

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.

A new decision tree based algorithm for prediction of hydrogen sulfide solubility in various ionic liquids - Reza Soleimani, Amir Hossein Saeedi Dehaghani, Alireza Bahadori.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ```
# 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)
# About the model
summary(model)
# Number of Terms
n = length(model$coefficients)
# model's predicted values against targets
predicted<-model$fitted.values
# using library ehaGoF for goodness of fit.
library(ehaGoF)
# Goodness of fit : adjusted coefficient of determination (adjusted R-squared)
gofACoD(targets, predicted, dgt=4,nTermInAppr=n)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.