bayesnec (version 2.1.3.0)

plot: Generates a plot for objects fitted by bnec

Description

Generates a plot for objects fitted by bnec. x should be of class bayesnecfit or bayesmanecfit.

Usage

# S3 method for bayesnecfit
plot(
  x,
  ...,
  CI = TRUE,
  add_nec = TRUE,
  position_legend = "topright",
  add_ec10 = FALSE,
  xform = identity,
  lxform = identity,
  jitter_x = FALSE,
  jitter_y = FALSE,
  ylab = "Response",
  xlab = "Predictor",
  xticks = NA
)
# S3 method for bayesmanecfit
plot(
  x,
  ...,
  CI = TRUE,
  add_nec = TRUE,
  position_legend = "topright",
  add_ec10 = FALSE,
  xform = identity,
  lxform = identity,
  jitter_x = FALSE,
  jitter_y = FALSE,
  ylab = "Response",
  xlab = "Predictor",
  xticks = NA,
  all_models = FALSE
)

Value

A plot of the fitted model.

Arguments

x

An object of class bayesnecfit or bayesmanecfit.

...

Additional arguments to plot.

CI

A logical value indicating if credibility intervals on the model fit should be plotted, calculated as the upper and lower bounds of the individual predicted values from all posterior samples.

add_nec

A logical value indicating if the estimated NEC value and 95% credible intervals should be added to the plot.

position_legend

A numeric vector indicating the location of the NEC or EC10 legend, as per a call to legend.

add_ec10

A logical value indicating if an estimated EC10 value and 95% credible intervals should be added to the plot.

xform

A function to be applied as a transformation of the x data.

lxform

A function to be applied as a transformation only to axis labels and the annotated NEC / EC10 values.

jitter_x

A logical value indicating if the x data points on the plot should be jittered.

jitter_y

A logical value indicating if the y data points on the plot should be jittered.

ylab

A character vector to use for the y-axis label.

xlab

A character vector to use for the x-axis label.

xticks

A numeric vector indicate where to place the tick marks of the x-axis.

all_models

A logical value indicating if all models in the model set should be plotted simultaneously, or if a model average plot should be returned.

Examples

# \donttest{
library(bayesnec)
nec4param <- pull_out(manec_example, "nec4param")
# plot single models (bayesnecfit)
plot(nec4param)
plot(nec4param, add_nec = FALSE)
plot(nec4param, add_ec10 = TRUE)

# plot model averaged predictions (bayesmanecfit)
plot(manec_example)
# plot all panels together
plot(manec_example, add_ec10 = TRUE, all_models = TRUE)
# }