Plot prediction of gam model — plot_gam

Plot prediction of gam model

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)