mort.plot: Plot dose-mortality response for each strain

Description

This function plots the probit-transformed mortalities (probit.trans() function) as a function of the log10 of the dose, the regressions predicted by the resist.ratio() function, with or without confidence levels, if the dose-mortality responses are linear (option).

Usage

mort.plot(
  data,
  strains = NULL,
  plot.conf = TRUE,
  conf.level = 0.95,
  LD.value = c(25, 50, 95),
  test.validity = TRUE,
  legend.par = c("bottomleft"),
  ...
)

Value

A plot of dose-mortality responses for bioassays

Arguments

data: a data frame of probit transformed mortality data using the function probit.trans()
strains: character. list of test strains to be plotted. If not provided, the function will plot all the strains in the data set.
plot.conf: logical. Whether to plot the confidence intervals for each strain, default TRUE
conf.level: numerical. The confidence interval to be plotted
LD.value: numerical. Level of lethal dose to be tested. default=c(25,50,95)
test.validity: logical. When TRUE (default), if a strain mortality-dose response fails the chi-square test for linearity in the resist.ratio() function, no regression will be plotted, only the observed data.
legend.par: multi-type. Arguments to be passed to the legend as in legend. default position bottomleft. If no legend desired use FALSE. Note: if pch, lty, and col are passed to the plot, they don't need to be passed to legend()
...: parameters to be passed on to graphics for the plot (e.g. col, pch)

Author

Piyal Karunarathne, Pascal Milesi, Pierrick Labbé

Examples

Run this code

data(bioassay)
transd<-probit.trans(bioassay$assay2)
data<-transd$tr.data
strains<-levels(data$strain)
mort.plot(data,strains)

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