Please keep responses on-list unless there are compelling reasons not to.
It is still not clear what you want to do. You *might* want to assign
probabilities to the edges of a graph where these probabilities are
uniformly (and independently) distributed on the interval [0.01, 0.10].
This could be done by
probs <- runif(n,0.01,0.10)
where "n" is the number of edges. See ?runif.
You *might* want to assign probabilities either 0.01 or 0.10 to each
edge of the graph, each probability being chosen with probability 0.5
(???). This could be done by
probs <- sample(c(0.01,0.10),n,TRUE).
You really need to learn something about R if you are going to use R.
Start with "An Introduction to R" available (under "Manuals") from the R
web site.
You also need to learn to express yourself clearly and unambiguously.
Do not expect your readers to be telepathic.
cheers,
Rolf Turner
On 05/05/14 19:41, Ragia Ibrahim wrote:
thanks for replying
in the following paper
http://www.cs.cornell.edu/home/kleinber/kdd03-inf.pdf
page 6 third paragraph
the author writes:
"assigned a uniform probability of p to each edge of the graph, choosing
p to be 1% and 10%
in separate trials."
how to use R function to get such probability ?
Regards
> Date: Mon, 5 May 2014 19:27:43 +1200
> From: r.tur...@auckland.ac.nz
> To: ragi...@hotmail.com
> CC: r-help@r-project.org
> Subject: Re: [R] uniform number
>
> On 05/05/14 17:05, Ragia Ibrahim wrote:
> >
> > Dear group,
> > How to generate uniform probability choosing p to be 2% and 5%, in
separate trials for 100 times.
>
> No idea WTF you are talking about. Can you formulate a question that is
> comprehensible to the human mind?
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