autoplot: bayesnec standard ggplot2 plotting method

In bayesnec: A Bayesian No-Effect- Concentration (NEC) Algorithm

bayesnec standard ggplot2 plotting method

Description

bayesnec standard ggplot2 plotting method.

Usage

## S3 method for class 'bayesnecfit'
autoplot(object, ..., nec = TRUE, ecx = FALSE, xform = identity)

## S3 method for class 'bayesmanecfit'
autoplot(
  object,
  ...,
  nec = TRUE,
  ecx = FALSE,
  xform = identity,
  all_models = FALSE,
  plot = TRUE,
  ask = TRUE,
  newpage = TRUE,
  multi_facet = TRUE
)

Arguments

object	An object of class bayesnecfit or bayesmanecfit.
...	Additional arguments to be passed to ggbnec_data.
nec	Should NEC values be added to the plot? Defaults to TRUE.
ecx	Should ECx values be added to the plot? Defaults to FALSE..
xform	A function to apply to the returned estimated concentration values.
all_models	Should all individual models be plotted separately\ (defaults to FALSE) or should model averaged predictions be plotted instead?
plot	Should output ggplot output be plotted? Only relevant if all = TRUE and multi_facet = FALSE.
ask	Indicates if the user is prompted before a new page is plotted. Only relevant if plot = TRUE and multi_facet = FALSE.
newpage	Indicates if the first set of plots should be plotted to a new page. Only relevant if plot = TRUE and multi_facet = FALSE.
multi_facet	Should all plots be plotted in one single panel via facets? Defaults to TRUE.

Value

A ggplot object.

Examples

## Not run: 
library(brms)
nec4param <- pull_out(manec_example, "nec4param")
autoplot(nec4param)
autoplot(nec4param, nec = FALSE)
autoplot(nec4param, ecx = TRUE, ecx_val = 50)

# plot model averaged predictions
autoplot(manec_example)
# plot all panels together
autoplot(manec_example, ecx = TRUE, ecx_val = 50, all_models = TRUE)

## End(Not run)
## Not run: 
# plots multiple models, one at a time, with interactive prompt
autoplot(manec_example, ecx = TRUE, ecx_val = 50, all_models = TRUE,
         multi_facet = FALSE)

## End(Not run)

bayesnec documentation built on Sept. 26, 2023, 9:06 a.m.