R help - Apr 2004 - Question on Data Simulation

Dear mailing list,

Do you know a specific package in R where I can create an artificial survival 
data with controlled censoring condition?  (For example, I want to simulate a 
data set with 5 variables and 20% of the observations are censored.)

Many thanks.
Jei

Hello,
> -----Original Message-----
> From:	"Jingky P. Lozano" [SMTP:jlozano at apoy.upm.edu.ph]
> Sent:	Thursday, April 01, 2004 2:15 PM
> To:	r-help at stat.math.ethz.ch
> Subject:	[R] Question on Data Simulation 
> 
> Dear mailing list,
> 
> Do you know a specific package in R where I can create an artificial
> survival 
> data with controlled censoring condition?  (For example, I want to
> simulate a 
> data set with 5 variables and 20% of the observations are censored.)
> 
	maybe I misunderstood something but why don't you create a variable,
often denoted by 'status' in survival analysis, where the probabilities
are
0.2 for censoring and 0.8 for the event and add this to your other data?
	The code should like like this (for a hypothetical size of 1000
individuals):

	status = sample(x=c(0,1), size=1000, replace=TRUE, prob=c(0.2,0.8))


	Best,
	Roland

	P.S. Just a matter of style: if you (=mailing list members) are
asked by someone how to do something in R, do you prefer to give the names
of the arguments in the functions, or do you prefer to keep it short like:
	status = sample(c(0,1), 1000, TRUE, c(0.2,0.8))


+++++
This mail has been sent through the MPI for Demographic Rese...{{dropped}}