Cardiological.MinMax.Rd
A real interval-valued data set.
data("Cardiological.CR")
A data frame containing following variables:
Lower bound of the response interval-valued variable Pulse
Lower bound of the explanatory interval-valued variable Systolic Pressure
Lower bound of the explanatory interval-valued variable Diastolic Pressure
Upper bound of the response interval-valued variable Pulse
Upper bound of the explanatory interval-valued variable Systolic Pressure
Upper bound of the explanatory interval-valued variable Diastolic Pressure
This data set concerns the record of the pulse rate (Y), systolic blood pressure (X1) and diastolic blood pressure (X2) from 11 patients.
Billard and Diday (2000)
Billard, L. and Diday, E. (2000) Regression analysis for interval-valued data. Data Analysis, Classification and Related Methods: Proceedings of the Seventh Conference of the International Federation of Classification Societies, Springer-Verlag, pp. 369-374.
data("Cardiological.MinMax", package = "iRegression") cm1 <- icm(PulseMin~SystMin+DiastMin,PulseMax~SystMax+DiastMax,data=Cardiological.MinMax) summary(cm1)#> Call: #> icm.default(formula1 = PulseMin ~ SystMin + DiastMin, formula2 = PulseMax ~ #> SystMax + DiastMax, data = Cardiological.MinMax) #> #> Estimate StdErr #> [1,] 21.1708061 18.4290175 #> [2,] 0.3288879 0.1074485 #> [3,] 0.1698512 0.1327378 #> #> RMSE.L: #> [1] 11.0942 #> RMSE.U: #> [1] 10.41365## data("Cardiological.MinMax", package = "iRegression") MinMax1 <- MinMax(PulseMin~SystMin+DiastMin,PulseMax~SystMax+DiastMax,data=Cardiological.MinMax) summary(MinMax1)#> Call: #> MinMax.formula(formula1 = PulseMin ~ SystMin + DiastMin, formula2 = PulseMax ~ #> SystMax + DiastMax, data = Cardiological.MinMax) #> #> Estimate.L StdErr.L #> (Intercept) 22.5765996 23.6212767 #> SystMin 0.2654480 0.1578517 #> DiastMin 0.1952525 0.1625865 #> #> RMSE.L: #> [1] 10.39287 #> #> Estimate.U StdErr.U #> (Intercept) 34.0809692 21.0028892 #> SystMax 0.3061762 0.1089318 #> DiastMax 0.1089141 0.1658257 #> #> RMSE.U: #> [1] 9.68417