plot.select_Millar function

Millar's selectivity plot

This function plots the selectivity estimates of Millar's selectivity model (select_Millar).

## S3 method for class 'select_Millar'
plot(
  x,
  plotlens = NULL,
  standardise = TRUE,
  deviance_plot = TRUE,
  selectivity_plot = TRUE,
  xlab_dev = "Length [cm]",
  xlab_sel = "Length [cm]",
  ylab_dev = "Mesh size [cm]",
  ylab_sel = "Relative retention",
  title_dev = "Deviance residuals",
  title_sel = NULL,
  ...
)

Arguments

• x: a list of the class "select_Millar" containing the results of Millar's selectivity model
• plotlens: A vector with lengths which should be used for drawing the selection curves
• standardise: A parameter indicating if the retention should be realtive to the maximum value (Default: TRUE).
• deviance_plot: logical (Default: TRUE); indicating whether a plot of deviance residuals should be displayed
• selectivity_plot: logical (Default: TRUE); indicating whether a plot of relative retention selectivities should be displayed
• xlab_dev: character string. Label for x axis of deviance plot. Default: "Length [cm]"
• xlab_sel: character string. Label for x axis of selectivity plot. Default: "Length [cm]"
• ylab_dev: character string. Label for y axis of deviance plot. Default: "Mesh size [cm]"
• ylab_sel: character string. Label for y axis of selectivity plot. Default: "Relative retention".
• title_dev: character string. Label for main title of deviance plot. Default: "Deviance residuals".
• title_sel: character string. Label for main title of selectivity plot. Default is taken from the results of the select_Millar (e.g. res$rtype).
• ...: additional parameter options from plot function

Details

This function draws a selectivity plot for the object class "select_Millar", which is created by applying Millar's selectivity model select_Millar.

Examples

data(gillnet)

output <- select_Millar(gillnet, x0 = c(60,4), rel.power = rep(1,8),
   rtype = "norm.loc", plot = FALSE)

plot(output, plotlens = seq(40,90,0.1), deviance_plot = FALSE)

References

Millar, R. B., Holst, R., 1997. Estimation of gillnet and hook selectivity using log-linear models. ICES Journal of Marine Science: Journal du Conseil, 54(3), 471-477.