summary.bivar: Summarizing Bivariate Symbolic Regression Method Fits

In iRegression: Regression Methods for Interval-Valued Variables

Description

summary method for class bivar.

Usage

## S3 method for class 'bivar'
summary(object, ...)

Arguments

object

an object of class "bivar", usually, a result of a call to bivar

.

...	other arguments.

Value

The function summary.bivar returns the following elements, given an object of the class "bivar",

Coefficients1	a named vector of coefficients for the explanatory variables of the model "1".
Coefficients2	a named vector of coefficients for the explanatory variables of the model "2".
RMSE1	root mean square error for the model "1".
RMSE2	root mean square error for the model "2".
Rho	the estimative for the correlation coefficient between Y1 and Y2.
Phi	the estimative of the dispersion parameter.
D	the goodness-of-fit measure deviance for the current model.

References

Lima Neto, E. A., Cordeiro, G. and De Carvalho, F.A.T. (2011). Bivariate symbolic regression models for interval-valued variables. Journal of Statistical Computation and Simulation (Print), 81, 1727–1744.

See Also

bivar

Examples

##-- Continuing the  bivar() example:
data("soccer.bivar", package = "iRegression")
ex.bivar <- bivar(yMin~t1Min+t2Min, "identity", yMax~t1Max+t2Max, "identity", data=soccer.bivar)
ex.sum <- summary(ex.bivar)
ex.sum

Example output

Attaching package: ‘iRegression’

The following object is masked from ‘package:grDevices’:

    cm

Call:
bivar.formula(formula1 = yMin ~ t1Min + t2Min, lig1 = "identity", 
    formula2 = yMax ~ t1Max + t2Max, lig2 = "identity", data = soccer.bivar)

Coefficients1:
            [,1]
[1,] -46.2858437
[2,]   0.6322040
[3,]   0.1427709

Coefficients2:
            [,1]
[1,] -20.8118364
[2,]   0.5274485
[3,]   0.1569776

RMSE1:
[1] 2.241134

RMSE2:
[1] 2.575446

Rho:
[1] 0.376

Phi:
[1] 5.742479

D:
[1] 195.2443

iRegression documentation built on May 2, 2019, 8:24 a.m.