Edlin Guerra-Castro, Juan Carlos Cajas, Juan Jose Cruz-Motta, Nuno Simoes and Maite Mascaro
SSP is an R package design to estimate sampling effort in studies of ecological communities based on the definition of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon 2015), simulation of data and resampling (Guerra-Castro et al., 2020).
SSP includes seven functions:
assempar for extrapolation of
assemblage parameters using pilot data;
simdata for simulation of
several data sets based on extrapolated parameters;
evaluation of plausibility of simulated data;
sampsd for repeated
estimations of MultSE for different sampling designs in simulated data
summary_sd for summarizing the behavior of MultSE for each
sampling design across all simulated data sets,
identification of the optimal sampling effort, and
plot_ssp to plot
sampling effort vs MultSE.
The SSP package will be available on CRAN but can be downloaded from github using the following commands:
## Packages needed to build SSP and vignettes install.packages(pkgs = c('devtools', 'knitr', 'rmarkdown')) library(devtools) library(knitr) library(rmarkdown) ## install the latest version of SSP from github install_github('edlinguerra/SSP', build_vignettes = TRUE) library(SSP)
For examples about how to use SSP, see
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