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Fix typos (#421) 

* Fix typos

* Fix typos
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behrman 2016-10-03 05:16:11 -07:00 committed by Hadley Wickham
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tibble.Rmd
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@ -16,7 +16,7 @@ library(tibble)
## Creating tibbles {#tibbles}
Almost all of the functions that you'll use in this book produce tibbles as tibbles are one of the unifying features of the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`:
Almost all of the functions that you'll use in this book produce tibbles, as tibbles are one of the unifying features of the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`:
```{r}
as_tibble(iris)

2
wrangle.Rmd
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@ -23,7 +23,7 @@ This part of the book proceeds as follows:
You'll learn the underlying principles, and how to get your data into a
tidy form.
Data wrangling also encompasses data transformation, which you've already learn a little about. Now we'll focus on new skills for three specific types of data you will frequently encounter in practice:
Data wrangling also encompasses data transformation, which you've already learned a little about. Now we'll focus on new skills for three specific types of data you will frequently encounter in practice:
* [Relational data] will give you tools for working with multiple
interrelated datasets.