Data analysis software makes sense of large amounts of information quickly. Tools like R, Python, and SPSS simplify research and statistical studies. Visualization platforms like Tableau and Power BI ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

The discovr package contains resources for my 2026 textbook Discovering Statistics Using and . There are tutorials written using learnr. Once a tutorial is running it’s a bit like reading a book but ...

The pipeline for Protein Activity Inference in Single Cells (PISCES) is a regulatory-network-based methdology for the analysis of single cell gene expression profiles. PISCES transforms highly ...

The analysis of spatial point patterns has greatly advanced our understanding of ecological processes. However, the methods currently available for analyzing replicated spatial point patterns (RSPPs) ...

Lockdowns and “stay-at-home” orders, starting in March 2020, shuttered bench and field dependent research across the world as a consequence of the global COVID-19 pandemic. The pandemic continues to ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...