- Website: FiveThirtyEight
- Overview: While primarily a data journalism site, FiveThirtyEight frequently uses R for its analyses. The blog often provides insights into data visualization and statistical modeling.
Category: Blogs
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTo-TU_VKVjH_WiUO8DVdBKMN8uxBUe3Qfo-g&s
-
Nate Silver’s FiveThirtyEight
-
Revolutions
- Website: Revolutions
- Overview: Maintained by Microsoft, this blog discusses R and data science topics, often featuring case studies, new R packages, and industry applications of R.
-
The R Graph Gallery
- Website: The R Graph Gallery
- Overview: Focused on data visualization with R, this site features numerous examples and tutorials for creating different types of plots using
ggplot2and other visualization packages.
-
RStudio Cheatsheets
- Website: RStudio Cheatsheets
- Overview: While not a blog, this resource provides concise guides on using various R packages and functions. They are excellent for quick reference and learning.
-
The Analysis Factor
- Website: The Analysis Factor
- Overview: Focuses on statistical analysis using R and other tools. The blog provides practical advice, tutorials, and webinars aimed at researchers and data analysts.
-
Data Science Central
- Website: Data Science Central
- Overview: While not exclusively about R, it features many articles and tutorials on data science topics, including those that use R for analysis and visualization.
-
RStudio Blog
- Website: RStudio Blog
- Overview: The official blog of RStudio, it provides updates about new features, tutorials, and tips for using R and RStudio. It also covers best practices for using the tidyverse and RMarkdown.
-
Simply Statistics
- Website: Simply Statistics
- Overview: Written by three biostatistics professors, this blog discusses statistics, data science, and R programming. They often cover statistical concepts and the application of R in real-world scenarios.
-
R-bloggers
- Website: R-bloggers
- Overview: A community-driven aggregator that collects blog posts about R from various sources. It features tutorials, tips, and examples on a wide range of R topics. It’s an excellent resource for discovering new ideas and techniques in R.