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Fix typos in layers.qmd documentation #423

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Fix typos in layers.qmd documentation #423

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8 changes: 4 additions & 4 deletions layers.qmd
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Expand Up @@ -67,7 +67,7 @@ This call fully specifies the five components to the layer: \index{Layers!compon
If you supply an aesthetic (e.g. colour) as a parameter, it will not be scaled, allowing you to control the appearance of the plot, as described in @sec-setting-mapping.
You can pass params in `...` (in which case stat and geom parameters are automatically teased apart), or in a list passed to `geom_params`.

- **stat**: The name of the statistical tranformation to use.
- **stat**: The name of the statistical transformation to use.
A statistical transformation performs some useful statistical summary, and is key to histograms and smoothers.
To keep the data as is, use the "identity" stat.
Learn more in @sec-stat.
Expand Down Expand Up @@ -258,7 +258,7 @@ It may take some time before the best approach is immediately obvious, so if you

Instead of mapping an aesthetic property to a variable, you can set it to a *single* value by specifying it in the layer parameters.
We **map** an aesthetic to a variable (e.g., `aes(colour = cut)`) or **set** it to a constant (e.g., `colour = "red"`).
If you want appearance to be governed by a variable, put the specification inside `aes()`; if you want override the default size or colour, put the value outside of `aes()`.
If you want appearance to be governed by a variable, put the specification inside `aes()`; if you want to override the default size or colour, put the value outside of `aes()`.
\index{Aesthetics!setting}

The following plots are created with similar code, but have rather different outputs.
Expand Down Expand Up @@ -365,7 +365,7 @@ For example, using a point geom will create a scatterplot, while using a line ge
- `geom_density2d()`: smoothed 2d density estimate.
- `geom_hex()`: bin into hexagons and count.
- At least one discrete:
- `geom_count()`: count number of point at distinct locations
- `geom_count()`: count number of points at distinct locations
- `geom_jitter()`: randomly jitter overlapping points.
- One continuous, one discrete:
- `geom_bar(stat = "identity")`: a bar chart of precomputed summaries.
Expand Down Expand Up @@ -477,7 +477,7 @@ You'll rarely call these functions directly, but they are useful to know about b

Other stats can't be created with a `geom_` function:

- `stat_ecdf()`: compute a empirical cumulative distribution plot.
- `stat_ecdf()`: compute an empirical cumulative distribution plot.
- `stat_function()`: compute y values from a function of x values.
- `stat_summary()`: summarise y values at distinct x values.
- `stat_summary2d()`, `stat_summary_hex()`: summarise binned values.
Expand Down