In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Analyzing RECS using data.table” workshop will…

In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Analyzing RECS using tidyverse” workshop will…

The Rcpp package for R provides “seamless R and C++ integration”. In this workshop, we will discuss the use of Rcpp to speed up existing R code by rewriting slow functions…

People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far…

Mediation models are commonly applied in a variety of modeling settings, and people will typically flock to tools specific to structural equation modeling like Mplus or Amos for analysis. However,…

Asynchronous computing is an umbrella term encompassing parallel and concurrent computational programs in which some tasks can be executed without a strict sequential order. A future is a programming abstraction for a value…

Matt Dowle, author of the data.table package, describes it as, “provid[ing] a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop…

This is a two day workshop (March 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

This is a two day workshop (March 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

This is a two day workshop (February 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…