From 5d1a4b57ba540f6d11662d5ce12493ba17d02088 Mon Sep 17 00:00:00 2001 From: Edwin Thoen Date: Wed, 24 Oct 2018 19:25:30 +0200 Subject: [PATCH] consistency in referring to spread functions (#688) --- transform.Rmd | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/transform.Rmd b/transform.Rmd index aa043d2..8af7dd1 100644 --- a/transform.Rmd +++ b/transform.Rmd @@ -677,8 +677,8 @@ Just using means, counts, and sum can get you a long way, but R provides many ot ``` * Measures of spread: `sd(x)`, `IQR(x)`, `mad(x)`. The root mean squared deviation, - or standard deviation or sd for short, is the standard measure of spread. - The interquartile range `IQR()` and median absolute deviation `mad(x)` + or standard deviation `sd(x)`, is the standard measure of spread. + The interquartile range `IQR(x)` and median absolute deviation `mad(x)` are robust equivalents that may be more useful if you have outliers. ```{r}