plot_qq_gam: Plot model diagnostics for generalised additive models

In grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

Plot model diagnostics for generalised additive models

Description

This is a clone of the appraise function in the gratia package (rewritten to avoid depending on gratia package for these plots). This function will plot 4 diagnostic plots when given a generalised additive model fitted with ga_model or mgcv. It creates graphs that use grafify colours and theme_grafify().

Usage

plot_qq_gam(
  Model,
  symsize = 2,
  s_colour = "#E69F00",
  s_alpha = 0.6,
  line_col = "black",
  base_size = 12,
  linethick,
  n_bins = c("sturges", "scott", "fd")
)

Arguments

Model	a model of class gam fitted with ga_model or the mgcv package.
symsize	size of symbols (default = 2)
s_colour	colour of symbols (default = ok_orange)
s_alpha	opacity of symbols (default = 0.8)
line_col	colour of lines (default = black)
base_size	font size for theme (default = 12)
linethick	thickness in 'pt' units of lines and symbol orders (default = base_size/22)
n_bins	one of either "sturges", "scott", "fd"

Value

This function returns an object of classes "ggplot" and "gg".

This function returns a ggplot2 object of class "gg" and "ggplot".

grafify documentation built on May 29, 2024, 3:49 a.m.