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Given a gam model this convenience function returns a ggplot2
object
depicting 2d smooth terms specified in the model as heat/contour plots. If
more than one 2d smooth term is present individual terms are faceted.
gg_tensor(x, ci = FALSE, ...)
a fitted gam
object as produced by gam()
.
A logical value indicating whether confidence intervals should be
calculated and returned. Defaults to TRUE
.
Further arguments passed to plot.gam
# NOT RUN {
g <- mgcv::gam(Sepal.Length ~ te(Sepal.Width, Petal.Length), data=iris)
gg_tensor(g)
gg_tensor(g, ci=TRUE)
gg_tensor(update(g, .~. + te(Petal.Width, Petal.Length)))
# }
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