fit.Data.Survrecu: This function let to adjust the IDs the database

In newTestSurvRec: Statistical Tests to Compare Curves with Recurrent Events

Description

This function let to adjust the ID's the database in case that it is not have the order numeric correct. Observation: this function only let to adjust the id variable not sort the rest of the data.

Usage

fit.Data.Survrecu(x)

Arguments

x	a database type dataframe

Value

Returns the correct numeric order for the dataframe

Note

The last id on each unit of the database to have be a censored data and the occurrences have that to precede to this last it.

Author(s)

Dr. Carlos M. Martinez M., <[e-mail]>

References

Martinez C., Ramirez, G., Vasquez M. (2009).Pruebas no parametricas para comparar curvas de supervivencia de dos grupos que experimentan eventos recurrentes. Propuestas. Revista Ingenieria U.C.,Vol 16, 3, 45-55.//Pena E., Strawderman R., Hollander M. (2001). Nonparametric Estimation with Recurrent Event Data. J.A.S.A. 96, 1299-1315

See Also

FitSurvRec, Survrecu, is.Survrecu

Examples

data(MMC.TestSurvRec)
ID<-fit.Data.Survrecu(Survrecu(MMC.TestSurvRec$id,MMC.TestSurvRec$time,
                               MMC.TestSurvRec$event))
ID
fit<-PSH.fit(Survrecu(ID,MMC.TestSurvRec$time,
                               MMC.TestSurvRec$event))
fit$time
fit$surv
plot(fit$time,fit$surv)

 
data(DataColonDukesABvsD)
XL<-data(DataColonDukesABvsD)
DataColonDukesABvsD$Iden
Y<-fit.Data.Survrecu(Survrecu(DataColonDukesABvsD$Iden,DataColonDukesABvsD$time,
                                  DataColonDukesABvsD$event))
Y
fit<-WC.fit(Survrecu(Y,DataColonDukesABvsD$time,DataColonDukesABvsD$event))
fit$time
fit$surv
plot(fit$time,fit$surv)
print(data.frame(time=fit$time,n.event=fit$n.event, 
                     Surv=fit$survfunc,std.error=fit$std.error))

newTestSurvRec documentation built on May 2, 2019, 12:21 p.m.