Package: ecocbo 0.12.0
ecocbo: Calculating Optimum Sampling Effort in Community Ecology
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.
Authors:
ecocbo_0.12.0.tar.gz
ecocbo_0.12.0.zip(r-4.5)ecocbo_0.12.0.zip(r-4.4)ecocbo_0.12.0.zip(r-4.3)
ecocbo_0.12.0.tgz(r-4.4-any)ecocbo_0.12.0.tgz(r-4.3-any)
ecocbo_0.12.0.tar.gz(r-4.5-noble)ecocbo_0.12.0.tar.gz(r-4.4-noble)
ecocbo_0.12.0.tgz(r-4.4-emscripten)ecocbo_0.12.0.tgz(r-4.3-emscripten)
ecocbo.pdf |ecocbo.html✨
ecocbo/json (API)
NEWS
| # Install 'ecocbo' in R: |
| install.packages('ecocbo', repos = c('https://arturosp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/arturosp/ecocbo/issues
- epiDat - Dataset on species count of marine communities
- simResults - Data set containing the results of applying ecocbo::prep_data().
Last updated 3 months agofrom:468423a068. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Exports:balanced_samplingbalanced_sampling2permanova_onewaypermanova_twowayplot_powerprep_dataprep_data_nestedsymmetricprep_data_singlescompvarsim_betasim_cboSS
Dependencies:abindbackportsbootbroomcarcarDatacliclustercodetoolscolorspacecorrplotcowplotcpp11DerivdoBydoParalleldoSNOWdplyrfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobanditeratorslabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpermutepillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixsamplingscalessnowSparseMSSPstringistringrsurvivaltibbletidyrtidyselectutf8vctrsveganviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ecocbo: Calculating Optimum Sampling Effort in Community Ecology | ecocbo-package ecocbo |
| Dataset on species count of marine communities | epiDat |
| Power curves for different sampling efforts | plotpower plot_power |
| Prepare data for evaluation | prepdata prep_data |
| S3Methods for Printing | print.ecocbo_beta prints |
| Simulated components of variation | compvar scompvar |
| Calculate beta and power out of simulated samples | simbeta sim_beta |
| Simulated cost-benefit optimization | simcbo sim_cbo |
| Data set containing the results of applying ecocbo::prep_data(). | simResults |
