From 5ec12ac2f6e6eaca9da3dac36d2dc0becab504c0 Mon Sep 17 00:00:00 2001 From: Hadley Wickham Date: Mon, 8 Aug 2022 13:44:15 -0500 Subject: [PATCH] Link to faux package vignette --- factors.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/factors.qmd b/factors.qmd index c41ae4c..b1a98e0 100644 --- a/factors.qmd +++ b/factors.qmd @@ -425,6 +425,6 @@ In practice, `ordered()` factors behave very similarly to regular factors. There are only two places where you might notice different behavior: - If you map an ordered factor to color or fill in ggplot2, it will default to `scale_color_viridis()`/`scale_fill_viridis()`, a color scale that implies a ranking. -- If you use an ordered function in a linear model, it will use "polygonal contrasts". These are mildly useful, but you are unlikely to have heard of them unless you have a PhD in Statistics, and even then you probably don't routinely interpret them. +- If you use an ordered function in a linear model, it will use "polygonal contrasts". These are mildly useful, but you are unlikely to have heard of them unless you have a PhD in Statistics, and even then you probably don't routinely interpret them. If you want to learn more, I'd recommend `vignette("contrasts", package = "faux")` by Lisa DeBruine. Given the arguable utility of these differences, we don't generally recommend using ordered factors.