Tags: programming
2026
2025
2024
- Some git links
- Rust-eze
- R / Rmarkdown / Quarto collaborative guide
- Type safety in R
- R and Visual Studio Code
- DevOps for data science
- Start with the programming language and statistical approach used by your community
- Superindex and subindex in ggpairs axes labels
- duckplyr: dplyr + DuckDB
- SQL: I always need a refresh
- I haven't done an animation in R in ages
- Getting rid of bars and outliers in boxplots
- A good entry point to Julia
- Oh my git!
- Old dog, etc
- Python not suitable platform for reproducible research
2023
- How old is your favourite language?
- Some love for Base R. Part 4
- Anyone using other than RStudio?
- Some love for Base R. Part 3
- Some love for Base R. Part 2
- Some love for Base R. Part 1
- Flotsam 17: maps
- Flotsam 16: neovim
2022
2021
2019
2018
2017
- Reducing friction in R to avoid Excel
- Keeping track of research
- Calculating parliament seats allocation and quotients
- Collecting results of the New Zealand General Elections
- Where are New Zealand’s bellwether electorates?
- Functions with multiple results in tidyverse
- Turtles all the way down
- Old dog and the tidyverse
2016
2014
- Mucking around with maps, schools and ethnicity in NZ
- Left-to-right
- Sometimes I feel (some) need for speed
- Less wordy R
- R as a second language
2013
- Using Processing and R together (in OS X)
- Flotsam 13: early July links
- Subsetting data
- Learning to code in R
2012
- R for inquisition
- R pitfalls #4: redefining the basics
- Overlay of design matrices in genetic analysis
- Scraping pages and downloading files using R
- (Unsurprisingly) users default to the defaults
- m x n matrix with randomly assigned 0/1
- Careless comparison bites back (again)
- Split-plot 1: How does a linear mixed model look like?
- R’s increasing popularity. Should we care?
- Teaching code, production code, benchmarks and new languages
- Late-April flotsam
- R, Julia and genome wide selection
- R, Julia and the shiny new thing
- IPython
- R is a language
2011
- R, academia and the democratization of statistics
- Lattice when modeling, ggplot when publishing
- Simulating data following a given covariance structure
- Setting plots side by side
- Reading HTML pages in R for text processing
- Operating on datasets inside a function
- A brief idea of style
- All combinations for levelplot
- On R versus SAS
- R pitfall #1: check data structure
- All combinations of levels for two factors
- “Not in” in R
- Python code to simulate the Monty Hall problem