Hello again John,
I was going to suggest that you just use qbinom to generate the
expected number of extinctions. For example, for the family with 80
spp the central 95% expectation is:
qbinom(c(0.025, 0.975), 80, 0.0748)
which gives 2 - 11 spp.
If you wanted to do look across a large number of
Hi John,
I haven't read that particular paper but in answer to your question...
> So if i do this for all the families it will be the same as doing the
> simulation experiment
> outline in the method above?
Yes :)
Michael
On 15 October 2010 23:18, John Haart wrote:
> Hi Michael,
>
> Thanks
Hi Michael,
Thanks for this - the reason i am following this approach is that it appeared
in a paper i was reading, and i thought it was a interesting angle to take
The paper is
Vamosi & Wilson, 2008. Nonrandom extinction leads to elevated loss of
angiosperm evolutionary history. Ecology Let
Hi John,
The word "species" attracted my attention :)
Like Dennis, I'm not sure I understand your idea properly. In
particular, I don't see what you need the simulation for.
If family F has Fn species, your random expectation is that p * Fn of
them will be at risk (p = 0.0748). The variance on t
Hi Denis and list
Thanks for this , and sorry for not providing enough information
First let me put the study into a bit more context : -
I know the number of species at risk in each family, what i am asking is "Is
risk random according to family or do certain families have a disproportionate
Hi:
I don't believe you've provided quite enough information just yet...
On Fri, Oct 15, 2010 at 2:22 AM, John Haart wrote:
> Dear List,
>
> I am doing some simulation in R and need basic help!
>
> I have a list of animal families for which i know the number of species in
> each family.
>
> I a
Dear List,
I am doing some simulation in R and need basic help!
I have a list of animal families for which i know the number of species in each
family.
I am working under the assumption that a species has a 7.48% chance of being at
risk.
I want to simulate the number of species expected to
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