QQ plots for pffr model residuals
This is simply a wrapper for codeqq.gam().
## S3 method for class 'pffr' qq( object, rep = 0, level = 0.9, s.rep = 10, type = c("deviance", "pearson", "response"), pch = ".", rl.col = 2, rep.col = "gray80", ... )
object |
a fitted |
rep |
How many replicate datasets to generate to simulate quantiles
of the residual distribution. |
level |
If simulation is used for the quantiles, then reference intervals can be provided for the QQ-plot, this specifies the level. 0 or less for no intervals, 1 or more to simply plot the QQ plot for each replicate generated. |
s.rep |
how many times to randomize uniform quantiles to data under direct computation. |
type |
what sort of residuals should be plotted? See
|
pch |
plot character to use. 19 is good. |
rl.col |
color for the reference line on the plot. |
rep.col |
color for reference bands or replicate reference plots. |
... |
extra graphics parameters to pass to plotting functions. |
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