[R] How do I compare a multiple staged response with multivariables to a Development Index?

[R. Michael Weylandt]

This might get more traction on the R-SIG-Ecology lists.

And best of luck to you; I quite like turtles.

Michael

On Thu, Jan 26, 2012 at 4:37 AM, Jhope <jeanwaijang at gmail.com> wrote:
> Hi R- listeners,
>
> I should add that I would like also to compare my field data to an index
> model. The index was created by using the following script:
>
> devel.index <- function(values, weights=c(1, 2, 3, 4, 5, 6)) {
>  foo <- values*weights
>  return(apply(foo, 1, sum) / apply(values, 1, sum))
> }
>
> Background:
> Surveyed turtle egg embryos have been categorized into 6 stages of
> development in the field. The stages in the field data are named ST0, ST1,
> ST2, ST3, ST4, Shells. from the data = data.to.analyze.
>
> Q?
> 1. What is the best way to analyze the field data on embryonic development
> of 6 stages?
> 2. Doing this while considering, testing the variables: Veg, HTL,
> Aeventexhumed, Sector, Rayos, TotalEggs?
> 3. And then compare the results to a development index.
>
> The goal is to determine hatching success in various areas of the beach. And
> try to create a development index of these microenvironments. Seasonality
> would play a key role. Is this possible?
>
> Many thanks!
> Saludos, Jean
>
>
>
> --
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