Merge pull request #52 from pitmonticone/main

.github/workflows/TagBot.yml

@@ -4,6 +4,22 @@ on:
     types:
       - created
   workflow_dispatch:
+    inputs:
+      lookback:
+        default: 3
+permissions:
+  actions: read
+  checks: read
+  contents: write
+  deployments: read
+  issues: read
+  discussions: read
+  packages: read
+  pages: read
+  pull-requests: read
+  repository-projects: read
+  security-events: read
+  statuses: read
 jobs:
   TagBot:
     if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
@@ -12,4 +28,6 @@ jobs:
       - uses: JuliaRegistries/TagBot@v1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
+          # Edit the following line to reflect the actual name of the GitHub Secret containing your private key
           ssh: ${{ secrets.DOCUMENTER_KEY }}
+          # ssh: ${{ secrets.NAME_OF_MY_SSH_PRIVATE_KEY_SECRET }}

docs/examples/Contributors/Howto.jl

@@ -17,7 +17,7 @@
 # follow the next steps:
 
 # !!! warning "build docs locally"
-#     Install the following dependecies in your system via pip, i.e.
+#     Install the following dependencies in your system via pip, i.e.
 #     - `pip install mkdocs pygments python-markdown-math`
 #     - `pip install mkdocs-material pymdown-extensions mkdocstrings`
 #     - `pip mknotebooks pytkdocs_tweaks mkdocs_include_exclude_files jinja2 mkdocs-video`

docs/examples/UserGuide/dataset_movies.jl

@@ -5,7 +5,7 @@ using RDatasets
 
 movies = dataset("ggplot2", "movies");
 
-# To work with this dataset, we will use the `@chain` macro. This macro initiates a pipe, and every function or macro provided to it between the `begin` and `end` blocks modifies the dataframe mentioned at the beginning of the pipe. You don't have to necessarily spread a chain over multiple lines of code, but when working with data frames it's often easiest to do so. Before going futher, take a look at the [Chain.jl GitHub page](https://github.com/jkrumbiegel/Chain.jl) to see all the cool things that are possible with this, including mid-chain side effects using `@aside` and mid-chain assignment of variables.
+# To work with this dataset, we will use the `@chain` macro. This macro initiates a pipe, and every function or macro provided to it between the `begin` and `end` blocks modifies the dataframe mentioned at the beginning of the pipe. You don't have to necessarily spread a chain over multiple lines of code, but when working with data frames it's often easiest to do so. Before going further, take a look at the [Chain.jl GitHub page](https://github.com/jkrumbiegel/Chain.jl) to see all the cool things that are possible with this, including mid-chain side effects using `@aside` and mid-chain assignment of variables.
 
 # Let's take a look at the first 5 rows of the `movies` dataset using `@slice()`.
 

docs/examples/UserGuide/interpolation.jl

@@ -44,7 +44,7 @@ end
   @filter(a == !!myvar_string)
 end
 
-# ## Filetering rows works similarly using `in`.
+# ## Filtering rows works similarly using `in`.
 
 # Note that for `in` to work here, we have to wrap it in `[]` because otherwise, the string will be converted into a collection of characters, which are a different data type.
 
@@ -109,7 +109,7 @@ end
 
 # ## Alternative interpolation syntax
 
-# While interpolationg using `!!` is concise and handy, it's not required. You can also access user-defined globals and global constant variables using the following syntax:
+# While interpolation using `!!` is concise and handy, it's not required. You can also access user-defined globals and global constant variables using the following syntax:
 
 @chain df begin
   @mutate(area = Main.pi * radius^2)

docs/examples/UserGuide/rename.jl

@@ -1,4 +1,4 @@
-# Renaming colummns follows the same syntax as in R's `tidyverse`, where the "tidy expression" is `new_name = old_name`. While the main function to rename columns is `@rename()`, you can also use `@select()` if you additionally plan to select only the renamed columns.
+# Renaming columns follows the same syntax as in R's `tidyverse`, where the "tidy expression" is `new_name = old_name`. While the main function to rename columns is `@rename()`, you can also use `@select()` if you additionally plan to select only the renamed columns.
 
 using Tidier
 using RDatasets

src/docstrings.jl

@@ -18,7 +18,7 @@ const docstring_across =
 """
     across(variable[s], function[s])
 
-Apply functions to multiple variables. If specifiying multiple variables or functions, surround them with a parentheses so that they are recognized as a tuple.
+Apply functions to multiple variables. If specifying multiple variables or functions, surround them with parentheses so that they are recognized as a tuple.
 
 This function should only be called inside of Tidier.jl macros.