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Fix typo in 12.5.1 #593

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Fix typo in 12.5.1 #593

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8 changes: 4 additions & 4 deletions tidy.Rmd
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Expand Up @@ -535,13 +535,13 @@ Compare and contrast the `fill` arguments to `pivot_wider()` and `complete()`.

<div class="answer">

The `values_fill` argument in `pivot_wider()` and the `fill` argument to `complete()` both set vales to replace `NA`.
The `values_fill` argument in `pivot_wider()` and the `fill` argument to `complete()` both set values to replace `NA`.
Both arguments accept named lists to set values for each column.
Additionally, the `values_fill` argument of `pivot_wider()` accepts a single value.
In `complete()`, the fill argument also sets a value to replace `NA`s but it is named list, allowing for different values for different variables.
In `complete()`, the fill argument also sets a value to replace `NA`s but it is a named list, allowing for different values for different variables.
Also, both cases replace both implicit and explicit missing values.

For example, this will fill in the missing values of the long data frame with `0` `complete()`:
For example, this will fill in the missing values of the long data frame with `0` by the `values_fill` argument of `pivot_wider()`:
```{r}
stocks <- tibble(
year = c(2015, 2015, 2015, 2015, 2016, 2016, 2016),
Expand All @@ -563,7 +563,7 @@ stocks %>%
values_fill = 0)
```

For example, this will fill in the missing values of the long data frame with `0` `complete()`:
For example, this will fill in the missing values of the long data frame with `0` by `complete()`:
```{r}
stocks %>%
complete(year, qtr, fill=list(return=0))
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