morse: plot.survFitPredict_Nsurv – R documentation

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plot.survFitPredict_Nsurv

Plotting method for survFitPredict_Nsurv objects.

Description

This is the generic plot S3 method for the survFitPredict_Nsurv. It plots the predicted survival probability for each concentration of the chemical compound in the provided dataset.

Usage

## S3 method for class 'survFitPredict_Nsurv'
plot(
  x,
  xlab = "Time",
  ylab = "Number of survivors",
  main = NULL,
  spaghetti = FALSE,
  one.plot = FALSE,
  mcmc_size = NULL,
  ...
)

Arguments

`x`	An object of class `survFitPredict_Nsurv`.
`xlab`	A label for the X-axis, by default `Time`.
`ylab`	A label for the Y-axis, by default `Survival probability`.
`main`	A main title for the plot.
`spaghetti`	If `TRUE`, draws a set of survival curves using parameters drawn from the posterior distribution
`one.plot`	if `TRUE`, draws all the estimated curves in one plot instead of one plot per concentration.
`mcmc_size`	A numerical value refering by default to the size of the mcmc in object `survFitPredict`. This option is specific to `survFitPredict` objects for which computing time may be long. `mcmc_size` can be used to reduce the number of mcmc samples in order to speed up the computation.
`...`	Further arguments to be passed to generic methods.

Details

The fitted curves represent the predicted survival probability as a function of time for each concentration. The function plots both the 95% credible band and the predicted survival probability over time. 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. This spaghetti plot 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).

morse

Modelling Tools for Reproduction and Survival Data in Ecotoxicology

v3.3.1

GPL (>= 2)

Authors

Virgile Baudrot [aut], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [aut], Alexander Singer [ctb], Philippe Veber [aut]

Initial release