From 9fa9d0c9f2a02c2b1bbd76de5412d1686074f035 Mon Sep 17 00:00:00 2001 From: Brandon Greenwell Date: Wed, 24 Feb 2016 15:56:08 -0500 Subject: [PATCH 1/2] Fixing typos If not pounds, then switch to appropriate units. --- model.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/model.Rmd b/model.Rmd index a1f1248..cc36bb1 100644 --- a/model.Rmd +++ b/model.Rmd @@ -46,7 +46,7 @@ I've narrowed the data down to 10 variables: * `id` - A number ot identify each subject * `income` - The self-reported income of each subject * `height` - The height of each subject in inches -* `weight` - The weight of each subject in inches +* `weight` - The weight of each subject in pounds * `sex` - The sex of each subject * `race` - The race of each subject * `education` - The number of years of education completed by each subject From 5e1a9a5a65ef4c768deaa02121296a8b7e210304 Mon Sep 17 00:00:00 2001 From: Alex Date: Sat, 27 Feb 2016 12:11:50 -0800 Subject: [PATCH 2/2] Typo in code chunk comments --- robust-code.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/robust-code.Rmd b/robust-code.Rmd index 29750f2..cedf547 100644 --- a/robust-code.Rmd +++ b/robust-code.Rmd @@ -42,7 +42,7 @@ You might notice that these issues revolve around data frames. That's unfortunat ```{r} df <- data.frame(xy = c("x", "y")) -# Character vectors work hard to work with for a long time, so R +# Character vectors were hard to work with for a long time, so R # helpfully converts to a factor for you: class(df$xy)