plot.reproFitTT: Plotting method for `reproFitTT` objects

Description

This is the generic plot S3 method for the reproFitTT class. It plots the concentration-effect fit under target time reproduction analysis.

Usage

# S3 method for reproFitTT
plot(
  x,
  xlab = "Concentration",
  ylab = "Nb of offspring per ind/day",
  main = NULL,
  fitcol = "orange",
  fitlty = 1,
  fitlwd = 1,
  spaghetti = FALSE,
  cicol = "orange",
  cilty = 2,
  cilwd = 1,
  ribcol = "grey70",
  addlegend = FALSE,
  log.scale = FALSE,
  style = "ggplot",
  ...
)

Value

a plot of class ggplot

Arguments

x: an object of class reproFitTT
xlab: a label for the \(X\)-axis, by default Concentration
ylab: a label for the \(Y\)-axis, by default Nb of offspring per ind/day
main: main title for the plot
fitcol: color of the fitted curve
fitlty: line type of the fitted curve
fitlwd: width of the fitted curve
spaghetti: if TRUE, the credible interval is represented by multiple curves
cicol: color of the 95 % credible limits
cilty: line type of the 95 % credible limits
cilwd: width of the 95 % credible limits
ribcol: color of the ribbon between lower and upper credible limits. Transparent if NULL
addlegend: if TRUE, adds a default legend to the plot
log.scale: if TRUE, displays \(X\)-axis in log-scale
style: graphical backend, can be 'ggplot' or 'generic'
...: Further arguments to be passed to generic methods

Details

The fitted curve represents the estimated reproduction rate at the target time as a function of the chemical compound concentration. The function plots 95% credible intervals for the estimated reproduction rate (by default the grey area around the fitted curve). Typically a good fit is expected to display a large overlap between the two types of intervals. If spaghetti = TRUE, the credible intervals are represented by two dotted lines limiting the credible band, and a spaghetti plot is added to this band. It consists of the representation of simulated curves using parameter values sampled in the posterior distribution (10% of the MCMC chains are randomly taken for this sample).