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RSDA (version 2.0.7)

uscrime_int: Us crime interval data table.

Description

Us crime classic data table genetated from uscrime data.

Usage

data(uscrime_int)

Arguments

Format

An object of class list of length 9.

References

Rodriguez O. (2013). A generalization of Centre and Range method for fitting a linear regression model to symbolic interval data using Ridge Regression, Lasso and Elastic Net methods. The IFCS2013 conference of the International Federation of Classification Societies, Tilburg University Holland.

Examples

Run this code
# NOT RUN {
data(uscrime_int)
car.data<-uscrime_int
res.cm.lasso<-sym.glm(sym.data=car.data,response=102,method='cm',alpha=1,
                      nfolds=10,grouped=TRUE)
plot(res.cm.lasso)
plot(res.cm.lasso$glmnet.fit, 'norm', label=TRUE)
plot(res.cm.lasso$glmnet.fit, 'lambda', label=TRUE)

pred.cm.lasso<-predictsym.glm(res.cm.lasso,response=102,car.data,method='cm')
RMSE.L(sym.var(car.data,102),pred.cm.lasso)
RMSE.U(sym.var(car.data,102),pred.cm.lasso)
R2.L(sym.var(car.data,102),pred.cm.lasso)
R2.U(sym.var(car.data,102),pred.cm.lasso)
deter.coefficient(sym.var(car.data,102),pred.cm.lasso)
# }

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