A personal tribute to statistician John Fox, recalling his mentorship and impact on the R community through tools like Rcmdr and car.
Explains that svyglm uses robust standard errors, detailing the statistical theory and variance estimation for survey data.
Announces 9 new free and paid books added to the Big Book of R collection, covering data science, visualization, and package development.
Explores techniques for generating identical random number streams across different statistical models, focusing on coupling simulations for Bayesian adaptive trials.
Announcing the 2024 Ihaka Lectures series, featuring talks on literate programming, data journalism, and using R in government.
Explains how to use S3 method dispatch on arguments other than the first in R, using the survey package's svytotal function as an example.
Analyzing a 1990s benchmark comparing R, S, and C performance, and revisiting it on modern hardware to discuss speed improvements and limitations.
A technical guide on computing kurtosis and its standard error using R's survey package, including function creation and delta method application.
A quick-start guide to using the R programming language for data analysis, covering installation, data exploration, and basic plotting with the iris dataset.
Explains how to use quasiquotation in base R to dynamically insert string values into code, specifically for model formulas.
A statistical analysis of variance estimation for generalized linear models with crossed clustering, using old R code and sandwich estimators.
Announcing the 2021 Ihaka Lectures featuring local experts on distributed computing, machine learning for child welfare, and applied math for COVID-19 response.
A professor details the curriculum and practical challenges of teaching an undergraduate 'Data Science Practice' course, covering data prep, predictive models, and tools like R and keras.
A technical guide on extending the R survey package to support instrumental variable regression (ivreg) with complex survey data.
Explores the statistical challenges of applying linear mixed models to complex survey data with multi-stage sampling, focusing on weighting issues.
Explores the diverse reasons developers create R packages, from practical tools to experimental research, and discusses their varying lifespans.
A technical explanation of the svycontrast() function in R's survey package, covering linear and non-linear contrasts for statistical estimation.
An update on the svy2lme R package for fitting linear mixed models with complex survey data, including a comparison with Stata.
A data scientist explains why he's attending the eRum 2018 R conference in Budapest instead of useR! this year, and provides details about the event.
Announcement of the major R 3.5.0 release, detailing new features and providing upgrade instructions for Windows and Mac users.
