quartopost

Goal

To use this package you need to work in RStudio. The goal of quartopost is to create and open a Quarto blog post with the appropriate YAML front matter in RStudio.

quartopost() displays a dialog window where you can enter the data for the YAML header of a new blog post.

Dialog window for creating a blog post

After clicking the “Done” button the function generates the core skeleton of a Quarto post. This includes:

• creating the directory (named with the date and title in kebab notation)
• (optionally) copying images from your hard disk into the new created folder
• creating the index.qmd file with the YAML header populated from the data of the dialog window
• opening the blog post file in RStudio for editing.

You can choose from your categories already created or add new categories. With the package comes also an RStudio Addin so you can bind the quartopost() command with a shortcut.

Installation

You can install the development version of quartopost from GitHub with:

# install.packages("devtools")
devtools::install_github("petzi53/quartopost")

Example

library(quartopost)

if (interactive()) {
  quartopost()
}

Possible Configurations

To create Quarto posts even easier, you can configure quartopost:

Provide a shortcut

• Choose “Tools -> Modify Keyboard Shortcuts …” from the RStudio menu.
• Filter the search box for “quarto”.
• Click into the column “Shortcut” of the “Create Quarto Post” addin.
• Provide your keyboard shortcut.

Add author name programmatically

If you are the only blog author on your machine, you can add your name to the author field automatically.

• Open .Rprofile. The easiest way it to install usethis` and open .Rprofile with usethis::edit_r_profile().
• Add the following line into .Rprofile

options(servr.daemon = TRUE,
    quartopost.author = "<your name>" 
)

• Restart RStudio.

Prevent confirmation question and verbose output

If you want to prevent the confirmation question before quartopost() creates the folder with the post, the YAML header and (optionally) copies your chosen image, add another line into .Rprofile:

quartopost.verbose = FALSE 

Define the draft status of the created file

You can specify if you want the new post with draft: true (Standard) or draft: false.

Show or hide empty fields

Not all fields are always needed. The default is to get the full list of all YAML fields provided by the dialog window, even if some of the fields are empty (show_empty_fields = true). With show_empty_fields = false only those fields with contents are displayed in the YAML front matter.

Summary

If you are going to add all lines to .RProfile, then your code snippets should look like:

options(servr.daemon = TRUE,
    quartopost.author = "Peter Baumgartner", # default = ""
    quartopost.verbose = FALSE,              # default = TRUE
    quartopost.draft = FALSE,                # default = TRUE
    quartopost.show_empty_fields = FALSE     # default = TRUE 
)

Do not forget to restart RStudio after you changed .Rprofile!

Acknowledgements

I am not very experienced in R programming, so I am very grateful that I could take help and suggestions from different sources:

I started with quartopost() after a question or feature request at the Posit forum. I got some helpful links that I tried out and used as precursors for my implementation.

I took the new_post() script from The Mockup blog as an advanced organizer for the general structure of my approach. It has a very extensive and understandable explanation. I learned about the kebab notation I had never heard about until this blog post. For German umlauts – and special characters in other languages -, I added the line stringi::stri_trans_general((title), "latin-ascii") (learned from a StackOverflow answer).

I also used some ideas from the newpost package, particularly the use of RStudio Addins and the request that users choose from categories already used.

My knowledge of R programming is limited, but I am a complete newbie when it comes to Shiny apps. (I just started reading the fantastic Mastering Shiny book by Hadley Wickham.) I took the general structure of the Shiny window from the blogdown “New Post” RStudio addin by Yihui Xie. The lack of a similar function for Quarto was generally my main incentive to start with the quartopost project in the first place.

I don’t want to release my package to CRAN, but I tried to follow the advises of R Packages.

Contribution is welcome!

I am sure that my code is not efficient and that there are many ways to improve my package. I am very interested to learn better programming in R / Shiny / (JavaScript). If you find bugs or more efficient ways to solve my intended goal please do not hesitate to raise an issue or provide a pull request.