Fix typo in chapter 15

action-graphics.Rmd

@@ -156,7 +156,7 @@ Another way to use `nearPoints()` is with `allRows = TRUE` and `addDist = TRUE`.
 That will return the original data frame with two new columns:
 
 -   `dist_` gives the distance between the row and the event (in pixels).
--   `selected_` says whether or not it's near the click event (i.e. whether or not its a row that would be returned when `allRows = FALSE)`.
+-   `selected_` says whether or not it's near the click event (i.e. whether or not it's a row that would be returned when `allRows = FALSE)`.
 
 We'll see an example of that a little later.
 

basic-ui.Rmd

@@ -452,7 +452,7 @@ These require new techniques in the server function, so we'll come back to that
     d.  `renderText(str(lm(mpg ~ wt, data = mtcars)))`
 
 2.  Re-create the Shiny app from Section \@ref(plots), this time setting height to 300px and width to 700px.
-    Set the plot "alt" text so that a visually impaired user can tell that its a scatterplot of five random numbers.
+    Set the plot "alt" text so that a visually impaired user can tell that it's a scatterplot of five random numbers.
 
 3.  Update the options in the call to `renderDataTable()` below so that the data is displayed, but all other controls are suppressed (i.e., remove the search, ordering, and filtering commands).
     You'll need to read `?renderDataTable` and review the options at <https://datatables.net/reference/option/>.

reactivity-escaping.Rmd

@@ -70,7 +70,7 @@ None of these actions change the reactive graph, so it remains as in Figure \@re
 
 ## Case studies
 
-Next, lets take a look at a few useful cases where you might combine `reactiveValues()` and `observeEvent()` or `observe()` to solve problems that are otherwise very challenging (if not impossible).
+Next, let's take a look at a few useful cases where you might combine `reactiveValues()` and `observeEvent()` or `observe()` to solve problems that are otherwise very challenging (if not impossible).
 These are useful templates for your own apps.
 
 ### One output modified by multiple inputs

reactivity-foundations.Rmd

@@ -63,7 +63,7 @@ b2$x
 
 We'll come back to why you might create your own reactive values in Chapter \@ref(reactivity-components).
 Otherwise, most of the reactive values you'll encounter will come from the `input` argument to the server function.
-These are a little different to the `reactiveValues()` that you create yourself because they're read-only: you're can't modify the values because Shiny automatically updates them based on user actions in the browser.
+These are a little different to the `reactiveValues()` that you create yourself because they're read-only: you can't modify the values because Shiny automatically updates them based on user actions in the browser.
 
 ### Exercises