ggDiagnose.Gam: Diagnostic plot for 'Gam' object ('ggplot2' based)
In benjaminleroy/ggDiagnose: Wrapper for Diagnostic Plots with ggplot2

Description Usage Arguments Details Value Examples

this function mimics the plot.Gam function from the gam package, not the plot.gam from the mgcv package.

ggDiagnose.Gam(x, residuals = NULL, rugplot = TRUE, se = TRUE,
  terms = labels.Gam(x), ..., jitter = TRUE, point.shape = 1,
  color = "black", se.color = "black", se.alpha = 0.2,
  se.linetype = 2, show.plot = TRUE, return = FALSE, nrow = "sqrt")

`x`	`Gam` object from `gam` library
`residuals`	if TRUE, partial deviance residuals are plotted along with the fitted terms<e2><80><94>default is FALSE. If residuals is a vector with the same length as each fitted term in x, then these are taken to be the overall residuals to be used for constructing the partial residuals.
`rugplot`	if TRUE (the default), a univariate histogram or rugplot is displayed along the base of each plot, showing the occurrence of each <e2><80><98>x<e2><80><99>; ties are broken by jittering (see parameter option below.
`se`	if TRUE (the default), upper and lower pointwise twice-standard-error curves are included for each plot.
`terms`	subsets of the terms can be selected.
`...`	(extra parameters, passed to dfCompile.Gam).
`jitter`	if TRUE (the default), rug points and plotted residual points are jittered. (Note `ggplot2`'s jitter is different than base plot.)
`point.shape`	shape of points (the default is 1, an open circle).
`color`	color for curves (or points if variable is discrete).
`se.color`	color of se band.
`se.alpha`	opacity of ribbon of se band if variable is continuous.
`se.linetype`	linetype of se band if variable is discrete.
`show.plot`	if TRUE, a display the graphics (group of graphics in this case) is returned.
`return`	if TRUE, a list of graphics and the data frame to make the majority of graphics is returned.
`nrow`	integer number of rows in the displayed graphic. (Default is `"sqrt"`, which makes the `show.plot` output on a square grid)

(however thought to make 2 types of gams is annoying.) remove when have both.

depending on show.plot and return it will return the visualization of the graphics and/or a list of both the data frame used the make the majority of the graphic and a list of each individual graphic.

library(gam)
gam.object <- gam::gam(Sepal.Length ~ gam::s(Sepal.Width) + Species,
                       data = iris)

par(mfrow = c(1,2))
plot(gam.object, se = TRUE, residuals = TRUE)

ggDiagnose(gam.object, residuals = TRUE) # se = TRUE by default