From 495624aefc48d6157cbf096aa1d3af9ef41fa93d Mon Sep 17 00:00:00 2001
From: celopezg <celopezg@unal.edu.co>
Date: Thu, 26 Jul 2018 10:58:42 -0500
Subject: [PATCH] typo

---
 dplyr.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dplyr.Rmd b/dplyr.Rmd
index ba1ea5e..cbc3e36 100644
--- a/dplyr.Rmd
+++ b/dplyr.Rmd
@@ -266,7 +266,7 @@ The `group_by()` function is used to generate summary statistics from the data f
 
 The general operation here is a combination of splitting a data frame into separate pieces defined by a variable or group of variables (`group_by()`), and then applying a summary function across those subsets (`summarize()`).
 
-First, we can create a `year` varible using `as.POSIXlt()`.
+First, we can create a `year` variable using `as.POSIXlt()`.
 
 ```{r}
 chicago <- mutate(chicago, year = as.POSIXlt(date)$year + 1900)