- Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 1: Basics (219 likes)
- Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 2: Layers (173 likes)
- Doing a Twitter Analysis with R (169 likes)
- Visualizations for correlation matrices in R (153 likes)
- How to perform merges (joins) on two or more data frames with base R, tidyverse and data.table (146 likes)
- Machine learning: Logistic regression and decision trees for healthcare in R (146 likes)
- Time series prediction – with deep learning (124 likes)
- A gentle introduction to reinforcement learning or what to do when you don’t know what to do (119 likes)
- How to import multiple data files (the fast way) (104 likes)
- Machine learning logistic regression for credit modelling in R (100 likes)
- How to import a subset of a (too huge) csv file (94 likes)
- Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 3: Layouts (80 likes)
- Create a Glossary in R Markdown (74 likes)
- Getting started with R and RStudio (70 likes)
- R Training – The Basics (59 likes)
- Marketing Analytics and Data Science (47 likes)
- Designing Transforms for Data Reshaping with cdata (47 likes)
- Data Science With R Course Series – Week 6 (47 likes)
- Introducing gratia (41 likes)
- How to deal with ggplotly huge maps (40 likes)
- Where to find and how to use NUTS2 level maps in R (39 likes)
- Text Mining 40 Years of Warren Buffett’s Letters to Shareholders (38 likes)
- CRAN’s New Missing Data Task View (34 likes)
- How to fetch Twitter users with R (31 likes)
- automl package: part 1/2 why and how (29 likes)
- automl package: part 2/2 first steps how to (28 likes)
- How much our maps are distorted? (27 likes)
- Getting started Stamen maps with ggmap (26 likes)
- Searching for R Packages (26 likes)
- Statistical inference with the General Social Survey Data (26 likes)
- Animating a spinner using ggplot2 and ImageMagick (25 likes)
- Faceted Graphs with cdata and ggplot2 (25 likes)
- Deploying an R Markdown Jekyll site to GitHub Pages (24 likes)
- Untoggle inline output in RMarkdown in RStudio (24 likes)
- A few thoughts on apparent bimodality for regression problems! (21 likes)
- Shiny (R) Web App Performance – Profiling (21 likes)
- Community Call – Working with images in R (20 likes)
- Maximized Monte Carlo Testing with MCHT (20 likes)
- Using rpart to figure out who voted for Trump (20 likes)
- Geocomputation with R: workshop at eRum (18 likes)
- R Training – Functions and programming blocks (18 likes)
- Analyzing OWASP Mod Security Audit Log with R (17 likes)
- Anonymous Functions in R and Python (17 likes)
- New R job: Scientist – Biological Statistics (16 likes)
- When the numbers don’t tell the whole story (16 likes)
- Cross-over study design with a major constraint (16 likes)
- Quantities for R – Ready for a CRAN release (16 likes)
- Solving the chinese postman problem (15 likes)
R-bloggers weekly – most loved R posts from last week (2018-10-21 till 2018-10-27)
What are the best R posts to read from last week? To help you decide, here is a list of the top R posts, sorted based on the number of likes they got on twitter, enjoy :