Merge pull request #171 from pythonhealthdatascience/dev

Dev

Author: amyheather

.all-contributorsrc

@@ -31,7 +31,8 @@
       "avatar_url": "https://avatars.githubusercontent.com/u/881493?v=4",
       "profile": "https://experts.exeter.ac.uk/19244-thomas-monks",
       "contributions": [
-        "review"
+        "content",
+        "userTesting"
       ]
     },
     {
@@ -40,7 +41,8 @@
       "avatar_url": "https://avatars.githubusercontent.com/u/59238786?v=4",
       "profile": "https://business-school.exeter.ac.uk/about/people/profile/index.php?web_id=Navonil_Mustafee",
       "contributions": [
-        "review"
+        "content",
+        "userTesting"
       ]
     },
     {
@@ -49,7 +51,8 @@
       "avatar_url": "https://avatars.githubusercontent.com/u/32298783?v=4",
       "profile": "https://github.com/AliHarp",
       "contributions": [
-        "review"
+        "content",
+        "userTesting"
       ]
     },
     {
@@ -58,8 +61,30 @@
       "avatar_url": "https://avatars.githubusercontent.com/u/103049148?v=4",
       "profile": "https://github.com/Falidoost",
       "contributions": [
-        "review"
+        "content",
+        "userTesting"
+      ]
+    },
+    {
+      "login": "robchallen",
+      "name": "Rob Challen",
+      "avatar_url": "https://avatars.githubusercontent.com/u/16591648?v=4",
+      "profile": "https://www.linkedin.com/in/robchallen",
+      "contributions": [
+        "content",
+        "userTesting"
+      ]
+    },
+    {
+      "login": "tbslater",
+      "name": "Tom Slater",
+      "avatar_url": "https://avatars.githubusercontent.com/u/109083824?v=4",
+      "profile": "https://github.com/tbslater",
+      "contributions": [
+        "content",
+        "userTesting"
       ]
     }
-  ]
+  ],
+  "repoType": "github"
 }

CITATION.cff

@@ -32,6 +32,14 @@ authors:
     family-names: Alidoost
     affiliation: University of Exeter Business School
     orcid: https://orcid.org/0009-0000-0252-560X
+  - given-names: Rob
+    family-names: Challen
+    affiliation:
+    orcid: https://orcid.org/0000-0002-5504-7768
+  - given-names: Tom
+    family-names: Slater
+    affiliation: Department of Mathematics and Statistics, University of Exeter
+    orcid: https://orcid.org/0009-0007-0838-7499
 repository-code: 'https://github.com/pythonhealthdatascience/des_rap_book'
 abstract: >-
   Step-by-step guide for building Python and R simulation

CONTRIBUTING.md

@@ -87,6 +87,26 @@ If your name or contributions are missing from the README, or if you contributed
 
 Then list appropriate contribution types from [allcontributors.org/docs/en/emoji-key](https://allcontributors.org/docs/en/emoji-key) (e.g., code, review, doc, content, bug, ideas, infra).
 
+Alternatively, you can update it from the command line. This may be preferable, as the bot will create GitHub issues that email people when they are added.
+
+You'll need to install the [All-Contributors CLI tool](https://allcontributors.org/cli/installation/):
+
+```
+npm i -D all-contributors-cli
+```
+
+You can then run the following and select/enter relevant information when prompted:
+
+```
+npx all-contributors
+```
+
+If you want to remove specific contributions or people, edit the `.all-contributorsrc` file then run the following to regenerate the table in `README.md`. (Don't edit `README.md`, as it is just generated based on `.all-contributorsrc`).
+
+```
+npx all-contributors generate
+```
+
 <br>
 
 ## Docker

README.md

@@ -88,13 +88,15 @@ If you're interested in contributing (or just viewing this website locally), che
 <table>
   <tbody>
     <tr>
-      <td align="center" valign="top" width="25%"><a href="https://github.com/amyheather"><img src="https://avatars.githubusercontent.com/u/92166537?v=4?s=100" width="100px;" alt="Amy Heather"/><br /><sub><b>Amy Heather</b></sub></a><br /><a href="#bug-amyheather" title="Bug reports">🐛</a> <a href="#code-amyheather" title="Code">💻</a> <a href="#content-amyheather" title="Content">🖋</a> <a href="#doc-amyheather" title="Documentation">📖</a> <a href="#design-amyheather" title="Design">🎨</a> <a href="#ideas-amyheather" title="Ideas, Planning, & Feedback">🤔</a> <a href="#infra-amyheather" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="#tutorial-amyheather" title="Tutorials">✅</a></td>
-      <td align="center" valign="top" width="25%"><a href="https://experts.exeter.ac.uk/19244-thomas-monks"><img src="https://avatars.githubusercontent.com/u/881493?v=4?s=100" width="100px;" alt="Tom Monks"/><br /><sub><b>Tom Monks</b></sub></a><br /><a href="#review-TomMonks" title="Reviewed Pull Requests">👀</a></td>
-      <td align="center" valign="top" width="25%"><a href="https://business-school.exeter.ac.uk/about/people/profile/index.php?web_id=Navonil_Mustafee"><img src="https://avatars.githubusercontent.com/u/59238786?v=4?s=100" width="100px;" alt="Nav Mustafee"/><br /><sub><b>Nav Mustafee</b></sub></a><br /><a href="#review-NavonilNM" title="Reviewed Pull Requests">👀</a></td>
-      <td align="center" valign="top" width="25%"><a href="https://github.com/AliHarp"><img src="https://avatars.githubusercontent.com/u/32298783?v=4?s=100" width="100px;" alt="Alison Harper "/><br /><sub><b>Alison Harper </b></sub></a><br /><a href="#review-AliHarp" title="Reviewed Pull Requests">👀</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://github.com/amyheather"><img src="https://avatars.githubusercontent.com/u/92166537?v=4?s=100" width="100px;" alt="Amy Heather"/><br /><sub><b>Amy Heather</b></sub></a><br /><a href="https://github.com/pythonhealthdatascience/des_rap_book/issues?q=author%3Aamyheather" title="Bug reports">🐛</a> <a href="https://github.com/pythonhealthdatascience/des_rap_book/commits?author=amyheather" title="Code">💻</a> <a href="#content-amyheather" title="Content">🖋</a> <a href="https://github.com/pythonhealthdatascience/des_rap_book/commits?author=amyheather" title="Documentation">📖</a> <a href="#design-amyheather" title="Design">🎨</a> <a href="#ideas-amyheather" title="Ideas, Planning, & Feedback">🤔</a> <a href="#infra-amyheather" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="#tutorial-amyheather" title="Tutorials">✅</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://experts.exeter.ac.uk/19244-thomas-monks"><img src="https://avatars.githubusercontent.com/u/881493?v=4?s=100" width="100px;" alt="Tom Monks"/><br /><sub><b>Tom Monks</b></sub></a><br /><a href="#content-TomMonks" title="Content">🖋</a> <a href="#userTesting-TomMonks" title="User Testing">📓</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://business-school.exeter.ac.uk/about/people/profile/index.php?web_id=Navonil_Mustafee"><img src="https://avatars.githubusercontent.com/u/59238786?v=4?s=100" width="100px;" alt="Nav Mustafee"/><br /><sub><b>Nav Mustafee</b></sub></a><br /><a href="#content-NavonilNM" title="Content">🖋</a> <a href="#userTesting-NavonilNM" title="User Testing">📓</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://github.com/AliHarp"><img src="https://avatars.githubusercontent.com/u/32298783?v=4?s=100" width="100px;" alt="Alison Harper "/><br /><sub><b>Alison Harper </b></sub></a><br /><a href="#content-AliHarp" title="Content">🖋</a> <a href="#userTesting-AliHarp" title="User Testing">📓</a></td>
     </tr>
     <tr>
-      <td align="center" valign="top" width="25%"><a href="https://github.com/Falidoost"><img src="https://avatars.githubusercontent.com/u/103049148?v=4?s=100" width="100px;" alt="Fatemeh Alidoost"/><br /><sub><b>Fatemeh Alidoost</b></sub></a><br /><a href="#review-Falidoost" title="Reviewed Pull Requests">👀</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://github.com/Falidoost"><img src="https://avatars.githubusercontent.com/u/103049148?v=4?s=100" width="100px;" alt="Fatemeh Alidoost"/><br /><sub><b>Fatemeh Alidoost</b></sub></a><br /><a href="#content-Falidoost" title="Content">🖋</a> <a href="#userTesting-Falidoost" title="User Testing">📓</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://www.linkedin.com/in/robchallen"><img src="https://avatars.githubusercontent.com/u/16591648?v=4?s=100" width="100px;" alt="Rob Challen"/><br /><sub><b>Rob Challen</b></sub></a><br /><a href="#content-robchallen" title="Content">🖋</a> <a href="#userTesting-robchallen" title="User Testing">📓</a></td>
+      <td align="center" valign="top" width="25%"><a href="https://github.com/tbslater"><img src="https://avatars.githubusercontent.com/u/109083824?v=4?s=100" width="100px;" alt="Tom Slater"/><br /><sub><b>Tom Slater</b></sub></a><br /><a href="#content-tbslater" title="Content">🖋</a> <a href="#userTesting-tbslater" title="User Testing">📓</a></td>
     </tr>
   </tbody>
 </table>

_quarto.yml

@@ -124,7 +124,7 @@ website:
           Text licence: <a href="https://creativecommons.org/licenses/by-sa/4.0/" target="_blank" rel="noopener">CC-BY-SA 4.0</a>.
     right:
       - text: |
-          Heather, A., Monks, T., Mustafee, N., & Harper, A. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.
+          Heather, A., Monks, T., Mustafee, N., Harper, A., Alidoost, F., Challen, R., & Slater, T. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.
 
 format:
   html:

index.qmd

@@ -86,8 +86,19 @@ We have dedicated pages explaining the foundations, helpful if you're new to any
 
 <br>
 
-This resource is an output of **STARS**, a research project led by Associate Prof. **Tom Monks** [![ORCID](images/orcid.png)](https://orcid.org/0000-0003-2631-4481). The book is written by **Amy Heather** [![ORCID](images/orcid.png)](https://orcid.org/0000-0002-6596-3479) and reviewed by Prof. **Nav Mustafee** [![ORCID](images/orcid.png)](https://orcid.org/0000-0002-2204-8924), Dr. **Alison Harper** [![ORCID](images/orcid.png)](https://orcid.org/0000-0001-5274-5037), Associate Prof. **Tom Monks** [![ORCID](images/orcid.png)](https://orcid.org/0000-0003-2631-4481), and **Fatemeh Alidoost** [![ORCID](images/orcid.png)](https://orcid.org/0009-0000-0252-560X). The STARS project is supported by the Medical Research Council [grant number MR/Z503915/1]. The listed researchers are associated with the **University of Exeter** Medical and Business Schools.
+This resource is an output of **STARS**, a research project led by Associate Prof. **Tom Monks** [![ORCID](images/orcid.png)](https://orcid.org/0000-0003-2631-4481).
+
+The book is written by **Amy Heather** [![ORCID](images/orcid.png)](https://orcid.org/0000-0002-6596-3479). It has been reviewed by:
+
+* Prof. **Nav Mustafee** [![ORCID](images/orcid.png)](https://orcid.org/0000-0002-2204-8924)
+* Dr. **Alison Harper** [![ORCID](images/orcid.png)](https://orcid.org/0000-0001-5274-5037)
+* Associate Prof. **Tom Monks** [![ORCID](images/orcid.png)](https://orcid.org/0000-0003-2631-4481)
+* **Fatemeh Alidoost** [![ORCID](images/orcid.png)](https://orcid.org/0009-0000-0252-560X)
+* Dr. **Rob Challen** [![ORCID](images/orcid.png)](https://orcid.org/0000-0002-5504-7768)
+* **Tom Slater** [![ORCID](images/orcid.png)](https://orcid.org/0009-0007-0838-7499)
+
+The STARS project is supported by the Medical Research Council [grant number MR/Z503915/1]. The listed researchers are associated with the **University of Exeter** Medical and Business Schools.
 
 You can find out more about our project on the [**STARS project website**](https://pythonhealthdatascience.github.io/stars/){target="_blank"}. If you use this resource, **please cite us:**
 
-> Heather, A., Monks, T., Mustafee, N., & Harper, A. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.
+> Heather, A., Monks, T., Mustafee, N., Harper, A., Alidoost, F., Challen, R., & Slater, T. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.

pages/guide/further_info/conclusion.qmd

@@ -99,7 +99,7 @@ The code in this book is licensed under an **MIT License**, and the text is unde
 
 Suggested citation:
 
-> Heather, A., Monks, T., Mustafee, N., & Harper, A. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.
+> Heather, A., Monks, T., Mustafee, N., Harper, A., Alidoost, F., Challen, R., & Slater, T. (2025). DES RAP Book: Reproducible Discrete-Event Simulation in Python and R. https://github.com/pythonhealthdatascience/des_rap_book. https://doi.org/10.5281/zenodo.17094155.
 
 ## Find out more about STARS
 

pages/guide/further_info/feedback.qmd

@@ -18,7 +18,7 @@ At the bottom of every page in this book, you'll find a comment section powered
 * Comment on individual pages to share insights, ask questions, or flag typos/bugs.
 * Leave a comment here (or on the home/conclusion pages) to give feedback about the book overall.
 
-**We’d love to hear from you**. If you've used the book, let us know! What worked well? What could be improved? Share any questions, suggestions, success stories, challenges, or ideas for new content.
+**We'd love to hear from you**. If you've used the book, let us know! What worked well? What could be improved? Share any questions, suggestions, success stories, challenges, or ideas for new content.
 
 ## Want to contribute?
 
@@ -32,7 +32,7 @@ All contributions are acknowledged in the README via the all-contributors system
 
 ## Contact information
 
-Prefer email instead? Reach out to the STARS team - you can contact:
+Prefer email instead? Reach out to the STARS team - you can contact the following team members about this site:
 
 * Amy Heather: [a.heather2@exeter.ac.uk](mailto:a.heather2@exeter.ac.uk)
 * Tom Monks: [t.m.w.monks@exeter.ac.uk](mailto:t.m.w.monks@exeter.ac.uk)

pages/guide/inputs/input_modelling.qmd

@@ -367,10 +367,6 @@ We see no trends, seasonality or outliers in the time series plot for mean servi
 #' @param save_path String. Path to save static file to (inc. name and
 #' filetype). If NULL, then will not save.
 #'
-#' @importFrom ggplot2 aes geom_line ggplot ggsave labs theme_minimal
-#' @importFrom plotly ggplotly
-#' @importFrom rlang .data
-#'
 #' @return A ggplot object (static) or a plotly object (interactive type),
 #' depending on `interactive` parameter.
 #' @export
@@ -540,10 +536,6 @@ The service times are right skewed distribution. Hence, it would be good to try
 #' @param save_path String. Path to save static file to (inc. name and
 #' filetype). If NULL, then will not save.
 #'
-#' @importFrom ggplot2 aes geom_histogram ggplot ggsave labs theme theme_minimal
-#' @importFrom plotly ggplotly
-#' @importFrom rlang .data
-#'
 #' @return A ggplot object (static) or a plotly object (interactive type),
 #' depending on `interactive` parameter.
 #' @export