Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

qq.pffr

QQ plots for pffr model residuals


Description

This is simply a wrapper for codeqq.gam().

Usage

## 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",
  ...
)

Arguments

object

a fitted pffr-object

rep

How many replicate datasets to generate to simulate quantiles of the residual distribution. 0 results in an efficient simulation free method for direct calculation, if this is possible for the object family.

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 residuals.gam.

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.


refund

Regression with Functional Data

v0.1-23
GPL (>= 2)
Authors
Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb]
Initial release
2020-12-03

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.