On Sep 19, 2010, at 11:41 AM, Halabi, Anan wrote:
I generate random vector from Weibull distribution
sampWB <-urweibull(sampleSize, shape=shape.true, scale=scale.true,
lb=0, ub=Inf)
I suppose with the suitable package loaded from a library that had it
installed, one could get reproducible code running, but at the moment
all I get is an error:
> sampWB <-urweibull(sampleSize, shape=shape.true, scale=scale.true,
lb=0, ub=Inf)
Error: could not find function "urweibull"
Perhaps:
set.seed(123)
censidx <- sample(1:length(sampWB), length(sampWb)*0.3)
sampWB[censidx] # the subset
how can I create subvector containing 30% of samplesize of sampWB
which should be assigned as Censored data?
The probability for each value in sampWB can be uniform to be
included in the subvector.
David Winsemius, MD
West Hartford, CT
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