[R] (no subject)

David Winsemius dwin@emiu@ @ending from comc@@t@net
Sun May 13 18:35:38 CEST 2018


> On May 12, 2018, at 9:42 AM, malika yassa via R-help <r-help at r-project.org> wrote:
> 
> 
> hello
> for exampl, i have this programme
> # Generating data which are right truncated
> library(DTDA)
> library(splines)
> library(survival)
> n<-25
> X<-runif(n,0,1)
> V<-runif(n,0.75,1)
> for (i in 1:n){
> while (X[i]>V[i]){
> X[i]<-runif(1,0,1)
> V[i]<-runif(1,0.75,1)
> }}
> res<-lynden(X=X,U=NA, V=V, boot=TRUE)
> attach(res)
> temps = time
> M_i = n.event
> L_t = res
> F_t=1-L_t  

> F_t=1-L_t                                     
Error in 1 - L_t : non-numeric argument to binary operator

L_t is a list. You cannot subtract a list (at least in R). I'm not sure what you think F_t is supposed to be and you don't seem to use it. If you are attempting to calculate the Hazard function, it's just:

str(L_t) # note the hazard component of that list.

 res$hazard

 [1] 0.03958 0.04121 0.04299 0.04492 0.04703 0.04935 0.05191 0.05476
 [9] 0.05793 0.06149 0.06552 0.07011 0.07540 0.08155 0.08879 0.09744
[17] 0.10795 0.12102 0.13768 0.15966 0.19000 0.23457 0.30645 0.44186
[25] 1.00000

For some interpretations of your question, this may be what you are seeking. It's the Pr( X > t )

>                                   
> par(mfrow=c(1,1))
> plot(L_t$time,L_t$survival,type="s",lty=2:3,lwd=2,las=1,cex.lab=1.1,font.lab=2,col="red",xlab="temps",ylab="L(t)",main="Esitmation de la Fonction de Survie L(t)")
> 
> 
> i need to calculate the probability p(X>V)

As I see it the probability of X>V is:

sum(X > V)
[1] 0

And I see this as a matter of definition. I'm guessing you wanted the estimated Hazard. If I'm wrong, I wonder if you can rephrase the question so it makes more sense to a general statistical audience. What is the subject matter of the investigation?


-- 
David
> 
>    Le jeudi 10 mai 2018 à 17:15:06 UTC+2, John Kane <jrkrideau at yahoo.ca> a écrit :  
> 
> We need some idea of the problem.
> 
> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> 
> 
> http://adv-r.had.co.nz/Reproducibility.html
> 
> 
> 
>    On Thursday, May 10, 2018, 11:07:30 a.m. EDT, malika yassa via R-help <r-help at r-project.org> wrote:  
> 
> 
> Hello 
> 
> Do You help me, i have the problem in the package DTDA for  find the probability of truncation  (alpha)
> thank you
> 
>     [[alternative HTML version deleted]]
> 
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> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   -Gehm's Corollary to Clarke's Third Law



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