Calculates sum of squares using Huygen theorem as implemented by Anderson (2014).

internal

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

SS function

<dl><dt>d</dt>
<dd>distance matrix from which the sum of squares will be calculated.</dd></dl>

Arguments

Edlin Guerra-Castro (<a href="/link/edlinguerra%40gmail.com?package=ecocbo&version=0.12.0" data-mini-rdoc="ecocbo::edlinguerra@gmail.com">edlinguerra@gmail.com</a>), Arturo Sanchez-Porras

Author

Sum of squares using Huygen Theorem — SS

<dl>

<dt>d</dt>
<dd>distance matrix from which the sum of squares will be calculated.</dd>

</dl>

Edlin Guerra-Castro (<a href='mailto:edlinguerra@gmail.com'>edlinguerra@gmail.com</a>), Arturo Sanchez-Porras

SS: Sum of squares using Huygen Theorem

Description

Usage

Value

Arguments

Author

References