uscrime_int: Us crime interval data table.

In RSDA: R to Symbolic Data Analysis

Us crime interval data table.

Description

Us crime classic data table genetated from uscrime data.

Usage

data(uscrime_int)

Format

An object of class symbolic_tbl (inherits from tbl_df, tbl, data.frame) with 46 rows and 102 columns.

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

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 <- sym.predict(res.cm.lasso, response = 102, car.data)
RMSE.L(car.data$ViolentCrimesPerPop, pred.cm.lasso)
RMSE.U(car.data$ViolentCrimesPerPop, pred.cm.lasso)
R2.L(car.data$ViolentCrimesPerPop, pred.cm.lasso)
R2.U(car.data$ViolentCrimesPerPop, pred.cm.lasso)
deter.coefficient(car.data$ViolentCrimesPerPop, pred.cm.lasso)

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