Presentation

  1. # Tobit regression
  2. library(survival)
  3. dt<-brabant[samp,]
  4. attach(dt)
  5. rfm.tobit<-survreg(Surv(ca97, ca97>0, type="left") ~r6 + rr6 + f6m + m6m + mm6m + caa96 + cda96, dist='gaussian')
  6. dt<-brabant[-samp,]
  7. attach(dt)
  8. predictv<-predict(rfm.tobit, type="response", newdata=dt)
  9. #predictv<-predictv+rfm.tobit$scale # a verifier et justifier
  10. predictv<-ifelse(predictv>0,predictv,0)
  11. predictv<-predictv + 110 # a verifier et justifier
  12. names(predictv)<-1:length(predictv)
  13. gc<-gainchart_cont(predictv,ca97)
  14. par(mfrow=c(2,2))
  15. plot_gaincharts_cont(gc)
Michel Calciu et Francis Salerno ; - Notes de cours à l'IAE de Lille 2004 - -