From e7899a00e31defab75b9e827a8ace0aaba7d30a6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Metehan=20G=C3=9CNG=C3=96R?=
 <102655648+gungorMetehan@users.noreply.github.com>
Date: Mon, 2 Mar 2026 09:46:30 +0300
Subject: [PATCH] Fix typos in layers.qmd documentation

typo
---
 layers.qmd | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/layers.qmd b/layers.qmd
index 10840db4..38204ea5 100644
--- a/layers.qmd
+++ b/layers.qmd
@@ -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.
@@ -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.
@@ -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.
@@ -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.