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More tibble tweaks

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hadley 2016-08-18 08:47:39 -05:00
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tibble.Rmd
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## Introduction
Throughout this book we work with "tibbles" instead of R's traditional data frame. Tibbles _are_ data frames, but they tweak some older behaviours to make life a littler easier. R is an old language, and some things that were useful 10 or 20 years ago now get in your way. It's difficult to change base R without breaking existing code, so most innovation occurs in packages. Here we will describe the __tibble__ package, which provides opinionated data frames that make working in the tidyverse a little easier.
Throughout this book we work with "tibbles" instead of R's traditional data.frame. Tibbles _are_ data frames, but they tweak some older behaviours to make life a littler easier. R is an old language, and some things that were useful 10 or 20 years ago now get in your way. It's difficult to change base R without breaking existing code, so most innovation occurs in packages. Here we will describe the __tibble__ package, which provides opinionated data frames that make working in the tidyverse a little easier.
If this chapter leaves you wanting to learn more about tibbles, you might enjoy `vignette("tibble")`.
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## Creating tibbles {#tibbles}
Almost all of the functions that you'll use in this book produce tibbles as using tibbles is one of the common features of packages in 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)