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Update tibble.Rmd (#249) 

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S'busiso Mkhondwane 2016-08-12 22:04:31 +02:00 committed by Hadley Wickham
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tibble.Rmd
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@ -67,7 +67,7 @@ I often add a comment (the line starting with `#`), to make it really clear wher
## Tibbles vs. data frames
There are two main differences in the usage of a data frame vs a tibble: printing, and subsetting.
There are two main differences in the usage of a data frame vs a tibble: printing and subsetting.
### Printing
@ -83,7 +83,7 @@ tibble(
)
```
Tibbles are designed so that you don't accidentally overwhelm your console when you print large dataframes. But sometimes you need more output than the default display. There are a few options that can help.
Tibbles are designed so that you don't accidentally overwhelm your console when you print large data frames. But sometimes you need more output than the default display. There are a few options that can help.
First, you can explicitly `print()` the data frame and control the number of rows (`n`) and the `width` of the display. `width = Inf` will display all columns:
@ -112,7 +112,7 @@ nycflights13::flights %>%
### Subsetting
So far all the tools you've learned have worked with complete dataframes. If you want to pull out a single variable, you need some new tools, `$` and `[[`. `[[` can extract by name or position; `$` only extracts by name but is a little less typing.
So far all the tools you've learned have worked with complete data frames. If you want to pull out a single variable, you need some new tools, `$` and `[[`. `[[` can extract by name or position; `$` only extracts by name but is a little less typing.
```{r}
df <- tibble(