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6 messages · malika yassa, John Kane, David Winsemius

#
Hello 

Do You help me, i have the problem in the package DTDA for ?find the probability of truncation ?(alpha)
thank you
#
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]]

______________________________________________
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.
2 days later
#
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??????????????????????????????????? ?
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)
    Le jeudi 10 mai 2018 ? 17:15:06 UTC+2, John Kane <jrkrideau at yahoo.ca> a ?crit :  
 
 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]]

______________________________________________
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.
#
Thanks I think that may help but it is outside my small area of knowledge. With any luck, someone will be along soon to give some help.
Why are using attach(res)? I don't see the need.
Good luck.
On Saturday, May 12, 2018, 12:50:24 p.m. EDT, malika yassa <yassa_malika at yahoo.fr> 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??????????????????????????????????? ?
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)
    Le jeudi 10 mai 2018 ? 17:15:06 UTC+2, John Kane <jrkrideau at yahoo.ca> a ?crit :  
 
 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]]

______________________________________________
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.
#
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 )
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?
#
Wrong. It's Pr( X < t)

Sorry;
David.
David Winsemius
Alameda, CA, USA

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