From 2985b6d61722a25e8e0be256cfd921c5a443b859 Mon Sep 17 00:00:00 2001 From: S'busiso Mkhondwane Date: Tue, 2 Aug 2016 16:25:57 +0200 Subject: [PATCH] Update tidy.Rmd (#222) typo --- tidy.Rmd | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tidy.Rmd b/tidy.Rmd index 48ce5ca..b4d00df 100644 --- a/tidy.Rmd +++ b/tidy.Rmd @@ -260,7 +260,7 @@ So far you've learned how to tidy `table2` and `table4`, but not `table3`. `tabl table3 ``` -The `rate` column contains both `cases` and `population` variable, and we need to split it into two variabes. `separate()` takes the name of the column to separate, and the names of the columns to separate into, as shown in \@ref(fig:tidy-separate) and the code below. +The `rate` column contains both `cases` and `population` variables, and we need to split it into two variables. `separate()` takes the name of the column to separate, and the names of the columns to separate into, as shown in \@ref(fig:tidy-separate) and the code below. ```{r} table3 %>% @@ -296,7 +296,7 @@ table3 %>% ### Unite -`unite()` is inverse of `separate()`: it combines multiple columns into a single column. You'll need it much less frequently that `separate()`, but it's still a useful tool to have in your back pocket. +`unite()` is inverse of `separate()`: it combines multiple columns into a single column. You'll need it much less frequently than `separate()`, but it's still a useful tool to have in your back pocket. ![](images/tidy-18.png)