RSDA: deter.coefficient – R documentation

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deter.coefficient

Compute the determination cosfficient

Description

The determination coefficient represents a goodness-of-fit measure commonly used in regression analysis to capture the adjustment quality of a model.

Usage

deter.coefficient(ref, pred)

Arguments

`ref`	Variable that was predicted.
`pred`	The prediction given by the model.

Value

Return the determination cosfficient.

Author(s)

Oldemar Rodriguez Rojas

References

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis 52, 1500-1515.

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis 54, 333-347.

Examples

data(int_prost_test)
data(int_prost_train)
res.cm <- sym.lm(lpsa ~ ., sym.data = int_prost_train, method = "cm")
pred.cm <- sym.predict(res.cm, int_prost_test)
deter.coefficient(int_prost_test$lpsa, pred.cm$Fitted)

RSDA

R to Symbolic Data Analysis

v3.0.12

GPL (>= 2)

Authors

Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]

Initial release

2022-07-04