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Garrett 2016-04-06 14:20:52 -04:00
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@ -2,7 +2,7 @@
With data, the relationships between values matter as much as the values themselves. Tidy data encodes those relationships.
Throughout this book we work with "tibbles" instead of the traditional data frame. Tibbles _are_ data frame but encode some patterns that make modern usage of R better. Unfortunately R is an old language, and things that made sense 10 or 20 years a go are no longer as valid. It's difficult to change base R without breaking existing code, so most innovation occurs in packages, providing new functions that you should use instead of the old ones.
Throughout this book we work with "tibbles" instead of the traditional data frame. Tibbles _are_ data frames but they encode some patterns that make modern usage of R better. Unfortunately R is an old language, and things that made sense 10 or 20 years a go are no longer as valid. It's difficult to change base R without breaking existing code, so most innovation occurs in packages, providing new functions that you should use instead of the old ones.
```{r}
library(tibble)
@ -16,7 +16,7 @@ The majority of the functions that you'll use in this book already produce tibbl
as_data_frame(iris)
```
As well as data frames, this function also knows how to convert lists (provided the elements are equal length vectors), matrices, and tables.
`as_data_frame()` knows how to convert data frames, lists (provided the elements are equal length vectors), matrices, and tables.
You can also create a new tibble from individual vectors with `data_frame()`: