FAQ

Interested in publishing a one-time post on R-bloggers.com? Press here to learn how.

Who is this site for?

R users who are interested in sharing high-quality R related content through  r-bloggers.com but do not have a blog of their own. The best content are tutorials or announcements. If you’re interested in posting promotional content (i.e.: something that you intend to make money from), please contact me beforehand to explain your use-case, so that we can discuss if it fits (or if it should be a “promotional content”).

What are the steps?

  1. Read this FAQ carefully.
  2. Once done, go and register here (by doing so you agree to the terms and conditions of the site, make sure to also read the Privacy Policy of the site).
  3. Login.
  4. Start writing your R post in this page.
  5. Once you ask to publish it, it will be reviewed. After editing it might be approved. If approved, it should show up on r-bloggers.com within 48 hours. Once a post is approved you will not be able to edit it, so make sure to get it ready before submitting it.
  6. If you have further questions, feel free to email me at: [email protected].

What should I (technically) avoid in the post?

While you are welcome to copy-paste the content of an HTML document into the visual editor, don’t copy-paste images from a knitr document into a post. These images are “base64” and do not play well with WordPress (even if they look fine to you when you write you post). Only upload image files (such as png or jpeg). You can simply drag and drop them to the text area when writing a post. Also, you can import a doc file using the “Aspose Doc Importer” button. Also, please make sure to only include content which you created, and for which you have the FULL copyright to share and distribute. Once you share your content here, it is deemed CC-BY (i.e.: free to use for any purpose, as long as the content creator is credited).

How to add R code?

Just wrap the R code with the pre tag: <pre> some R code </pre> And the result will look like this:
x <- rnorm(100)
plot(x)
It is best to organize the text first in “visual” mode and then edit the code in the “text” mode. Be sure to copy-paste the code in “text” mode and not in “visual” mode.