[R] Exponential population model

[lesnoff]

Dear Josephine
I think you may easily build such a model with the mmage package 
available at http://livtools.cirad.fr/mmage
Best Regards
Matthieu

On 29/08/2016 16:06, Msindai, Nadejda wrote:
> Dear David
>
>
> I think you misunderstood me, I need to find the name for an r package that models the population size from time 0 for a group of animals.
>
>
> I provided details to make it clearer the type of model I want to run.
>
>
> The only population model I have come across thus far is Popbio, which appears to be for plants? Therefore, can you assist me by telling me the name for a package that is used to model exponential growth:
>
>
> Exponential growth model is --
>
> ?The exponential growth model assumes that the population starts out at time t=0 at some initial N(0), and growth at constant exponential rate r. If r>0 this results in theoretically unlimited growth over time.  The fundamental equation of growth is
>
> ?
>
> ?N(t+1)= N(t) exp(r)
>
>
> I do not have a known growth rate figure for my species, therefore, I plan to use life history data obtained from wild populations (of one particular species) to model the current population size for a group of animals introduced onto an island.
>
>
> Thank you for your help in this matter
>
>
> Josephine
>
> ________________________________
> From: David Winsemius <dwinsemius at comcast.net>
> Sent: 27 August 2016 03:32:55
> To: Msindai, Nadejda
> Cc: r-help at r-project.org
> Subject: Re: [R] Exponential population model
>
>
>> On Aug 26, 2016, at 5:49 AM, Msindai, Nadejda <n.msindai.09 at ucl.ac.uk> wrote:
>>
>> Dear admin
>>
>> I am writing to ask for help with writing an R script to model the current population size using life history data (I do not know the intrinsic rate of increase (r)).
>>
>> My study population are a group of introduced chimpanzees, that were released by the Frankfurt Zoological Society in 1966-1969 onto an island in Lake Victoria.
>>
>> Thus I want to run a density independent population model using life history data, with 0 net migration/immigration (so this is a closed system).
>>
>>
>> These are the individuals entering the system (in my case arriving on the island), after 1969 no new animals arrive.
>>
>> Year    1966    1966    1966    1966    1966    1966    1966    1968    1969    1966    1966    1966    1966    1968    1969
>> Animal ID       F1      F2      F3      F4      F5      F6      F7      F8      F9      M1      M2      M3      M4      M5      M6
>> DOB     1955    1955    1956    1957    1958    1959    1955    1960    1960    1958    1959    1959    1962    1960    1960
>>
>> Notes:  Year is the year animal was released into the population
>>        F=female
>>        M=male
>>        DOB=date of birth
>>
>>
>> Using the following life history data I want to estimate the population size for the year 1979, 1989, 1999, and 2014, as well as future projection for 2019, 2029 etc.
>>
>> Age at first birth for females: 11 years
>> Birth interval: 55.2 months
>> Age at last birth: 50 years (in 40-50 years only 47% of females have offspring)
>> Survival to 8 years = 67.7%(Female) 51.4%(Male)
>> Survival to 15 years 41%(Female) 27%(Male)
>> Survival 15-40 years 18%(Female) 11%(Male)
>> Survival 40+ years 7%(M/F)
>>
>>
>>
>> Birth ratio set as ___M = Male, F = Female (set as 50:50)
>>
>
> This looks like a homework question and Rhelp is specifically announced as not doing homework. See the Posting Guide.
>
> --
> David.
>>
>>
>>
>> I hope you can be of help
>>
>> Kind regards
>>
>> Josephine
>>
>>
>>
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>
> David Winsemius
> Alameda, CA, USA
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Matthieu Lesnoff
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