Shows the plot of confidence regions with MLEs indicated (red dots) or a plot of pairs of traits together. Note that for the latter plot, it converts the sampled points to an even grid with interpolation; it sets any points with likelihood worse than ten units to just ten units worse so that you can see the colors near the area of the optimum.
# S3 method for BMhybResult plot(x, style = "univariate", focal.color = "red", inregion.color = "black", outregion.color = "gray", gradientworst.color = "white", gradientbest.color = "gray33", contour.color = "red", contour.threshold = 2, ...)
| x | A BMhyb object (result of a BMhyb() call) |
|---|---|
| style | Either univariate or contour |
| focal.color | Color for the point showing the maximum likelihood estimate |
| inregion.color | Color for univariate plot, points in the good region |
| outregion.color | Color for univariate plot, points in the bad region |
| gradientworst.color | Color for contour plot, color of the worst contour region |
| gradientbest.color | Color for contour plot, color of the best contour region |
| contour.color | Color showing the contour line for the best threshold |
| contour.threshold | What delta log likelihood to use for the best/worst threshold for the contour plot |
| ... | Other arguments to pass to plot (for univariate only; the contour plot uses ggplot2) |