Noam Ross is a research software engineer and data scientist writing about open-source software, reproducible research, and the ethics of technology. His blog explores tooling choices, CI/CD workflows, and the social impact of software in scientific work.
36 articles from this blog
A guide to automating reprint requests in Gmail using custom mailto links, filters, and canned responses.
A guide to using R's native debugging functions like traceback, debug, browser, trace, and recover, based on a talk by Michael Hannon.
A technical guide on using R's xts and ggplot2 packages to process and visualize time-series data from field instruments.
A presentation and tutorial on using the `plyr` package in R for data manipulation, summarization, and automated statistical analysis.
A guide to tools and best practices for collaborating on projects using the R programming language, including version control and community engagement.
A technical presentation on using R to create and analyze stochastic, age-structured matrix population models for ecological simulations.
Describes a multi-species, age-structured computational model for simulating Sudden Oak Death disease dynamics in forest stands.
A quick R function to edit CSV files using R's native data editor, providing a lightweight alternative to spreadsheet software.
A guide on customizing your R programming environment using the .Rprofile file, including setup for Windows and Mac.
A technical guide on using R's plot.new() function for creating custom multi-panel plots, comparing it to the traditional par(mfrow) method.
A tutorial introduction to using mixed models in R for statistical analysis, covering linear and generalized linear mixed models with code examples.
A tutorial introducing the ggplot2 package in R for creating data visualizations, comparing it with base R graphics.
A technical guide on converting LaTeX math equations to images for proper display in RSS feeds using Jekyll and CodeCogs.
A developer details migrating their blog to Jekyll on GitHub, discussing the benefits and their technical workflow for writing and publishing.
A talk on using the dplyr library in R for efficient and readable data manipulation, presented to the Davis R Users' Group.
A case study on running a successful R user group (D-RUG), covering co-work sessions, tutorials, a Q&A listserv, and lessons learned for community engagement.
