FAQ - Frequently asked questions

  1. Who is behind this blog? What is your background?
  2. Why did you launch this blog?
  3. What technology and theme do you use to write this blog and the articles?
  4. I am new to this blog, to R or to statistics, from where can I start?
  5. Can I use your code or material in my own project?
  6. I would like to replicate an analysis you have done in one of your article, can I have access to the entire code?
  7. I believe there is mistake/bug, what is the best way to report it?
  8. I have a question or I would like to collaborate with you, how can I contact you?
  9. Is it possible to contribute to this blog?
  10. How can I support you and support this blog?
  11. Can you link to my website?
  12. I have a question that is not mentioned here

This FAQ may be updated with new questions. Feel free to contact me if you have any other questions.

1. Who is behind this blog? What is your background?

Learn who is behind this blog and see more about my background in the about page.

2. Why did you launch this blog?

See why I launched this blog in my article about the main benefits of having a technical blog.

3. What technology and theme do you use to write this blog and the articles?

This blog is written in R using the {blogdown} package and Hugo, and deployed and hosted via Netlify.

Regarding the theme, I wanted to focus on the information I provide in my articles and did not want to distract readers with too many features, so I chose the Renga theme, which is a minimalist theme for Hugo/blogdown. As the blog evolved, I made minor changes to the code that I considered important.

The code of this website can be found on GitHub.

4. I am new to this blog, to R or to statistics, from where can I start?

If you are new to this blog, you can start with the following articles:

Alternatively, you can check all articles with the tag “Basics".

5. Can I use your code or material in my own project?

Yes, but bear in mind that I take no responsibility for the code or the results you obtain from it.

If you use my code or material in your own project, please reference the source, including:

  • Name of the author: “Antoine Soetewey”
  • Title of the article or tutorial
  • Name of the website: “Stats and R”
  • URL of the article or tutorial
  • Date you accessed or copied the code

For example:

Antoine Soetewey, Outliers detection in R, Stats and R, Available from https://www.statsandr.com/blog/outliers-detection-in-r/, accessed November 3rd, 2020.

If your work is public, feel free to send it to me so I can check it out.

6. I would like to replicate an analysis you have done in one of your article, can I have access to the entire code?

You can see the entire code of all articles on GitHub.

7. I believe there is mistake/bug, what is the best way to report it?

If you find a mistake or a bug, you can raise an issue on Github.

Thanks in advance for your feedback, I will correct the post as soon as possible!

8. I have a question or I would like to collaborate with you, how can I contact you?

In order for me to answer you as soon as possible, here are the best communication methods:

  • If you have a question or a suggestion related to a specific article, please add it as a comment so other readers can benefit from the discussion
  • For mistakes or bugs, please inform me about them by raising an issue on GitHub. Note that the code for all articles and pages of this blog can be found on GitHub
  • For all other requests, please use the contact form on the contact page

9. Is it possible to contribute to this blog?

Absolutely! To share your post on this blog, please send it via the contribution page.

10. How can I support you and support this blog?

You can support the development of this blog via the support page. Thanks in advance for your support, any help is greatly appreciated!

Thank you for your interest.

With the exception of a few rare cases, I will not add your link to one of my article for two simple reasons:

  1. There are plenty of great resources online (yours included). This means that if I accept your request, I will have to accept requests from everyone else
  2. I link to content that I think will help my readers learn something about statistics or R at the time I write each article

If you believe you have a relevant contribution to an article, feel free to post it in the comments of that article. It is an excellent way to contribute to the ongoing discussion and readers will be able to check your work.

Thank you for your understanding!

12. I have a question that is not mentioned here

If you still have a question that is not mentioned here you can contact me.

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