reorder_tensor_smooth_terms: Reorder tensor product terms for nicer plotting

In gavinsimpson/gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

Reorder tensor product terms for nicer plotting

Description

If a tensor product smooth of 3 or more terms contains a 2d marginal smooth, we will get nicer output from smooth_estimates() and hence a nicer plot from the draw.smooth_estimates() method if we reorder the terms of the smooth such that we vary the terms in the 2d marginal first, and any other terms vary more slowly when we generate data to evaluate the smooth at. This results in automatically generated data that focuses on the (or the first if more than one) 2d marginal smooth, with the end result that smooth_estimates() shows how that 2d smooth changes with the other terms involved in the smooth.

Usage

reorder_tensor_smooth_terms(smooth)

Arguments

smooth

an mgcv smooth object

gavinsimpson/gratia documentation built on April 29, 2024, 4:31 a.m.