epiDat

<p>This is a dataset containing a subset from the epibionts dataset from `SSP` which was made by using the three local communities that differ the most.</p>

datasets

A system for calculating the optimal sampling effort, based on the ideas of
"Ecological cost-benefit optimization" as developed by A. Underwood (1997,
ISBN 0 521 55696 1). Data is obtained from simulated ecological communities with
prep_data() which formats and arranges the initial data, and then the
optimization follows the following procedure of four functions: (1) scompvar()
calculates the variation components necessary for (2) sim_cbo() to calculate
the optimal combination of number of sites and samples depending on either
an economic budget or on a desired statistical accuracy. Additionally, (3)
sim_beta() estimates statistical power and type 2 error by using Permutational
Multivariate Analysis of Variance, and (6) plot_power() represents the
results of the previous function.

Arturo Sanchez-Porras

ecocbo

Calculating Optimum Sampling Effort in Community Ecology

Edlin Guerra-Castro

epiDat function

<p>A data frame with count of individuals for 24 observations on 151 species.</p>

epiDat: Dataset on species count of marine communities

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