plot_gam_predict: Plot prediction of 'gam' model

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

Plot prediction of gam model

Description

Plot prediction of gam model

Usage

plot_gam_predict(
  Model,
  xcol,
  ycol,
  ByFactor,
  symsize = 1,
  s_alpha = 0.1,
  smooth_alpha = 0.7,
  linethick,
  fontsize = 20,
  ...
)

Arguments

Model	a generalised additive model (gam) fitted with ga_model or mgcv
xcol	the smooth in the gam (should match variable in the model exactly)
ycol	the dependent variable in gam (should match variable in the model exactly)
ByFactor	the by factor used in gam (should match variable in the model exactly)
symsize	size of symbols (default = 1)
s_alpha	opacity of symbols (default = 0.1)
smooth_alpha	opacity of the predicted CI interval (default = 0.7)
linethick	thickness of symbol lines (default = fontsize/22)
fontsize	base font size for graph
...	additional arguments to pass to plot_xy_CatGroup.

Value

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

Examples

#fit zooplankton data
z1 <- ga_model(data = data_zooplankton,
Y_value = "log(density_adj)",
Fixed_Factor = "taxon",
Smooth_Factor = "day")

#plot fitted data
plot_gam_predict(Model = z1,
xcol = day, 
ycol = `log(density_adj)`,
ByFactor = taxon)

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