plotDoseResponse.survDataCstExp: Plot dose-response from 'survData' objects

In morse: Modelling Reproduction and Survival Data in Ecotoxicology

Plot dose-response from survData objects

Description

This is the generic plotDoseResponse S3 method for the survData class. It plots the survival probability as a function of concentration at a given target time.

Usage

## S3 method for class 'survDataCstExp'
plotDoseResponse(
  x,
  xlab = "Concentration",
  ylab = "Survival probability",
  main = NULL,
  target.time = NULL,
  style = "ggplot",
  log.scale = FALSE,
  remove.someLabels = FALSE,
  addlegend = TRUE,
  ...
)

Arguments

x	an object of class survData
xlab	a label for the X-axis, by default Concentration
ylab	a label for the Y-axis, by default Survival probability
main	main title for the plot
target.time	a numeric value corresponding to some observed time in data
style	graphical backend, can be 'ggplot' or 'generic'
log.scale	if TRUE, displays X-axis in log-scale
remove.someLabels	if TRUE, removes 75% of X-axis labels in 'ggplot' style to avoid the label overlap
addlegend	if TRUE, adds a default legend to the plot
...	Further arguments to be passed to generic methods

Details

The function plots the observed values of the survival probability at a given time point as a function of concentration. The 95 % binomial confidence interval is added to each survival probability. It is calculated using function binom.test from package stats. Replicates are systematically pooled in this plot.

Value

a plot of class ggplot

Note

When style = "generic", the function calls the generic function plot

When style = "ggplot", the function return an object of class ggplot, see function ggplot

See Also

binom.test

Examples

library(ggplot2)

# (1) Load the data
data(zinc)

# (2) Create an object of class 'survData'
zinc <- survData(zinc)

# (3) Plot dose-response
plotDoseResponse(zinc)

# (4) Plot dose-respo nse with a generic style
plotDoseResponse(zinc, style = "generic")

morse documentation built on Oct. 29, 2022, 1:14 a.m.