Resources

This post is part of a series called A Scientist's Guide to R and focuses on how to work with factors in R using the forcats package.

A Scientist's Guide to R: Step 2.5 - dates & times is a blog post that provides a guide on how to work with dates and times in R using the lubridate package. It covers topics such as date/time basics, reading dates, time zones, month names, extracting datetime components, custom date formats, date calculations, and planning a behavioural neuroscience experiment. The post aims to help readers handle dates and times effectively in R.

A YouTube tutorial on creating bump charts with ggplot2

A blog post about creating a Twitter bot using the R package rtweet and GitHub Actions

Garrick Aden-Buie's blog post introduces 'now,' a Quarto extension that allows the automatic update of time information in Quarto documents. This extension saves time by eliminating the need for manual updates of dates in documentation footers. By adding the extension using 'quarto add gadenbuie/quarto-now,' Quarto users can employ shortcodes like '{{< now >}}' and '{{< modified >}}' to display the current or last modified time. The extension supports customization of time output formats and may significantly streamline Quarto project maintenance by ensuring date accuracy without manual intervention.

Jadey Ryan shared her experience with automating the process of adding logos to images using the R packages {magick} and {purrr}. She also highlighted new merchandise such as tote bags and embroidered hats on her Etsy shop. Additionally, she announced a free webinar series on soil health where she will demo the {soils} R package. Alongside, she informed about the Parameterized Quarto workshops she is giving, focusing on efficient report generation using R and Quarto, with the next one scheduled with R-Ladies Abuja.

Adding social media icons to charts with {ggplot2}

This content covers an advanced workshop titled 'Advanced Reproducible Research in R,' designed to teach collaborative and automated analysis pipelines in scientific research. It emphasizes the importance of reproducibility and open scientific practices, presenting solutions to challenges such as coding standards, software dependency documentation, and data analysis automation. The course uses a code-along format with real-world datasets, created with Quarto, GitHub, and GitHub Actions. The material is available on a website and the r-cubed-advanced GitHub repository, licensed under Creative Commons for open use and modification.

Creating interactive visualizations with ggiraph (with or without Shiny)

Four reasons to learn HTML + CSS as an R programmer

Introduction to GIS with R through the sp and sf packages.

An exploration of the implementation of simple features standard by the sf package for R