Plot of fitted against observed response values

Usage

observed_fitted_plot(
  model,
  ylab = NULL,
  xlab = NULL,
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  point_col = "grey20",
  point_alpha = 1,
  by_family = NULL,
  conditioning = NULL,
  ...
)

Arguments

model: a fitted model supported by diagnostic_support.
ylab: character or expression; the label for the y axis. If not supplied, a suitable label will be generated.
xlab: character or expression; the label for the x axis. If not supplied, a suitable label will be generated.
title: character or expression; the title for the plot. See ggplot2::labs().
subtitle: character or expression; the subtitle for the plot. See ggplot2::labs().
caption: character or expression; the plot caption. See ggplot2::labs().
point_col: Deprecated; use gratia_theme_get() theme settings instead. Constant point colour when components are not mapped to colour. Pooled grouped diagnostics instead colour points by component.
point_alpha: Deprecated; use gratia_theme_get() theme settings instead. Numeric; alpha transparency for points in plots.
by_family: logical or NULL; separate indexed grouped-family components into facets. The default pools quantile residuals with component colours and facets traditional residuals. TRUE and FALSE explicitly select the layout. In appraise(), observed-versus-fitted values always use component facets. Standalone observed_fitted_plot() facets by default and permits explicit pooling. Ignored for ordinary models.
conditioning: character or NULL; "conditional" holds fitted random effects fixed, "marginal" averages over new effects, and "gam_component" uses the extracted GAM. Availability and defaults depend on the model; see diagnostic_support.
...: optional arguments passed to model preparation, such as the sdmTMB field_method.