R: Calculating Optimum Sampling Effort in Community Ecology

# Calculating Optimum Sampling Effort in Community Ecology

## Documentation for package ‘ecocbo’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ecocbo-package | ecocbo: Calculating Optimum Sampling Effort in Community Ecology
betaNested | Data set containing the results of applying ecocbo::sim_beta() to a nested factors experiment.
compvar | Simulated Components of Variation
dataFish | Data set containing results from the PRCRMP.
ecocbo | ecocbo: Calculating Optimum Sampling Effort in Community Ecology
epiBetaR | Data set containing the results of applying ecocbo::sim_beta() to a single factor experiment.
epiDat | Dataset on species count of marine communities.
macrofDat | Dataset on species count of coastal macrofauna.
plotpower | Plot Statistical Power and Pseudo-F Distributions
plot_power | Plot Statistical Power and Pseudo-F Distributions
prepdata | Prepare Data for Evaluation
prep_data | Prepare Data for Evaluation
scompvar | Simulated Components of Variation
simbeta | Calculate Beta Error and Statistical Power from Simulated Samples
simcbo | Cost-Benefit Optimization for Sampling Effort
simResults | Data set containing the results of applying ecocbo::prep_data().
simResultsNested | Data set containing the results of applying ecocbo::prep_data() to a nested factors experiment.
sim_beta | Calculate Beta Error and Statistical Power from Simulated Samples
sim_cbo | Cost-Benefit Optimization for Sampling Effort
Underwoodcbo | Cost-Benefit Optimization after Underwood's equations
underwoodcbo | Cost-Benefit Optimization after Underwood's equations
Underwood_cbo | Cost-Benefit Optimization after Underwood's equations