R2.U: Upper boundary correlation coefficient.

In RSDA: R to Symbolic Data Analysis

Upper boundary correlation coefficient.

Description

Compute the upper boundary correlation coefficient for two interval variables.

Usage

R2.U(ref, pred)

Arguments

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

Value

The upper boundary correlation coefficient.

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.

See Also

sym.glm

Examples

data(int_prost_train)
data(int_prost_test)
res.cm <- sym.lm(lpsa ~ ., sym.data = int_prost_train, method = "cm")
pred.cm <- sym.predict(res.cm, int_prost_test)
R2.U(int_prost_test$lpsa, pred.cm$Fitted)

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.