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Fix typos

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Closes #223.
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hadley
2016-08-12 12:44:36 -05:00
parent 419e7eaa99
commit 273a481021
1 changed files with 3 additions and 3 deletions
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6
tidy.Rmd
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@@ -406,7 +406,7 @@ treatment <- frame_data(
)
```
You can fill in these missing values with `fill()`. It takes a set of columns where you want missing values to be replaced by the most recent non-missing value (sometimese called last observation carried forward).
You can fill in these missing values with `fill()`. It takes a set of columns where you want missing values to be replaced by the most recent non-missing value (sometimes called last observation carried forward).
```{r}
treatment %>%
@@ -502,7 +502,7 @@ who3 <- who2 %>%
who3
```
Then we might as well drop the `new` colum because it's constant in this dataset. While we're dropping columns, let's also drop `iso2` and `iso3` since they're redundant.
Then we might as well drop the `new` column because it's constant in this dataset. While we're dropping columns, let's also drop `iso2` and `iso3` since they're redundant.
```{r}
who3 %>%
@@ -521,7 +521,7 @@ who5
The `who` dataset is now tidy!
I've shown you the code a piece at a time, assinging each interim result to a new variable. This typically isn't how you'd work interactively. Instead, you'd gradually build up a complex pipe:
I've shown you the code a piece at a time, assigning each interim result to a new variable. This typically isn't how you'd work interactively. Instead, you'd gradually build up a complex pipe:
```{r, results = "hide"}
who %>%