I have the probability: P(T+ / D+)
i want to find P(T+,D+) which is: P(T+ / D+)*P(D+) and i have those
probabilities. i dont know how to write this in R.
something like this: (say p2 is the conditional prob. and p1 is the joint
prob.)

p2 <- p1/.6
x <- rbinom(200, 1, .6)
y <- rbinom(300, 1, .6)
if (x) p2==0.95
if (y) p2==0.80

i don't know how to write the "if "condition.
thank you for your reply,
sigalit.


On 8/8/07, Kyle Henderson <[EMAIL PROTECTED]> wrote:
>
> That depends on what you meant by writing the conditional probability.
> Bayes rule says that the probability of testing positive when one has the
> disease is calculated as follows:
>
>      Pr(T+ | D+)=(Pr(D+ | T+)*Pr(T+))/Pr(D+)
>
> is that what you mean?
>
>
> Kyle H. Ambert
> Department of Behavioral Neuroscience
> Oregon Health & Science University
>
>
>
>  On 8/8/07, sigalit mangut-leiba <[EMAIL PROTECTED]> wrote:
>
> > hello,
> > i want to do a binomial simulation, by taking 200 var. from one group
> > (x)
> > and 300 from another (y).
> > the prob. for disease=.6 in both groups.
> >
> > x <- rbinom(200, 1, .6)
> >
> > y <- rbinom(300, 1, .6)
> > if the person is from group x - the probability to find the disease,
> > assuming the person is sick, is .95,
> > if he is from group Y its .80.
> > i want to know the joint probability: p(the person has the disease and
> > tested sick)=P(D+,T+).
> > my problem is how to write the conditional prob.
> > Thanks for your help, also reference on this subject (binomial
> > simulation)
> > would be great.
> > Sigalit.
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
>

        [[alternative HTML version deleted]]

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