A reproducible environment for the textbook Discrete Choice Analysis with R
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Updated
Jan 8, 2025 - R
A reproducible environment for the textbook Discrete Choice Analysis with R
This Repository contains the source code for my talk on Reproducible Research with R I presented at the CascadiaRConf2022
A reproducible workflow for synthetic insect soundscape generation and acoustic metric analysis.
An interactive Shiny app and QC pipeline for streamlined single-cell RNA-seq analysis. Includes differential expression, pathway enrichment, classification, power analysis, and publication-ready visualizations—all containerized for reproducible analysis on RStudio or HPC.
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