plot.dose_response.Rd
Plot dose_response
curve objects produced by compile_rjMCMC
.
# S3 method for dose_response plot( dr.object, overlay = FALSE, do.facet = TRUE, facet.title = TRUE, colour.by = NULL, colour = NULL, colour.median = NULL, fill.alpha = 0.3, order.by = "response", show.pmed = TRUE, rotate.y = FALSE, all.credint = FALSE, scientific.name = FALSE, common.name = FALSE, overwrite.abbrev = TRUE, outline.outer = FALSE, do.save = FALSE, file.format = "pdf", ... )
dr.object | Input object of class |
---|---|
overlay | Logical. If |
do.facet | Logical. If |
colour.by | Curves can be coloured by species group ( |
colour | Used to overwrite the |
colour.median | Colour to use for the posterior median. Overwrites the |
fill.alpha | Opacity applied to the credible intervals. Ranges from 0 (transparent) to 1 (fully opaque). |
order.by | How should plots be arranged? Use |
show.pmed | Logical. If |
rotate.y | Logical. If |
all.credint | Logical. If |
scientific.name | Logical. If |
common.name | Logical. If |
overwrite.abbrev | Logical. If |
outline.outer | Logical. If |
do.save | Logical. Whether to save plots on disk. |
file.format | Character. File format for output plots on disk. Can be one of |
... | Additional arguments as passed to |
Phil J. Bouchet
if (FALSE) { library(espresso) # Import the example data, excluding species with sample sizes < 5 # and considering the sonar covariate mydat <- read_data(file = NULL, min.N = 5, covariates = "sonar") summary(mydat) # Configure the sampler mydat.config <- configure_rjMCMC(dat = mydat, model.select = TRUE, covariate.select = FALSE, function.select = FALSE, n.rep = 100) summary(mydat.config) # Run the reversible jump MCMC rj <- run_rjMCMC(dat = mydat.config, n.chains = 2, n.burn = 100, n.iter = 100, do.update = FALSE) # Burn and thin rj.trace <- trace_rjMCMC(rj.dat = rj) # Get dose-response functions doseR <- compile_rjMCMC(rj.trace) # Plot dose-response curves plot(dr.object = doseR, colour.by = "group") }