opt.beta.lim

Find simultaneous confidence intervals for diet
proportions of a single prey species i.e. solve f(pio) = PVAL(pio)
= alpha1. Calls root finding function root.beta.

internal

Accurate estimates of the diets of predators are required
in many areas of ecology, but for many species current methods are
imprecise, limited to the last meal, and often biased. The diversity
of fatty acids and their patterns in organisms, coupled with the
narrow limitations on their biosynthesis, properties of digestion in
monogastric animals, and the prevalence of large storage reservoirs of
lipid in many predators, led to the development of quantitative
fatty acid signature analysis (QFASA) to study predator diets.

Connie Stewart

QFASA

Quantitative Fatty Acid Signature Analysis

Sara Iverson

Chris Field

Don Bowen

Wade Blanchard

Shelley Lang

Justin Kamerman

Hongchang Bao

Holly Steeves

Jennifer McNichol

Tyler Rideout

opt.beta.lim function

<dl><dt>alpha1</dt>
<dd>simultaneous confidence level</dd>
<dt>par.list</dt>
<dd>a list of R.p lists of I beta distribution parameters phi
and theta that define diet proportion estimates for each of the
prey species. Effectively R.p beta distributions for each of the
I prey species from which we bootstrap to calculate p-values.</dd>
<dt>R</dt>
<dd>number of bootstrap replicates to use in p-value estimation.</dd>
<dt>p.mat</dt>
<dd>predator diet estimates.</dd>
<dt>k</dt>
<dd>prey species index 1...I</dd></dl>

Arguments

Find simultaneous confidence intervals for diet
proportions of a single prey species i.e. solve f(pio) = PVAL(pio)
= alpha1.  Calls root finding function root.beta. — opt.beta.lim

<dl>

<dt>alpha1</dt>
<dd>simultaneous confidence level</dd>


<dt>par.list</dt>
<dd>a list of R.p lists of I beta distribution parameters phi
and theta that define diet proportion estimates for each of the
prey species. Effectively R.p beta distributions for each of the
I prey species from which we bootstrap to calculate p-values.</dd>


<dt>R</dt>
<dd>number of bootstrap replicates to use in p-value estimation.</dd>


<dt>p.mat</dt>
<dd>predator diet estimates.</dd>


<dt>k</dt>
<dd>prey species index 1...I</dd>

</dl>

Find simultaneous confidence intervals for diet
proportions of a single prey species i.e. solve f(pio) = PVAL(pio)
= alpha1.  Calls root finding function root.beta.

opt.beta.lim: Find simultaneous confidence intervals for diet proportions of a single prey species i.e. solve f(pio) = PVAL(pio) = alpha1. Calls root finding function root.beta.

Description

Usage

Value

Arguments