Using the R ecosystem to produce a reproducible data analysis pipeline скачать в хорошем качестве

Using the R ecosystem to produce a reproducible data analysis pipeline

Presenter: Andrew Farina (United States Military Academy) Advances in open-source software have brought powerful machine learning and data analysis tools requiring little more than a few coding basics. Unfortunately, the very nature of rapidly changing software can contribute to legitimate concerns surrounding the reproducibility of research and analysis. Borrowing from current practices in data science and software engineering fields, a more robust process using the R ecosystem to produce a version-controlled data analysis pipeline is proposed. By integrating the data cleaning, model generation, manuscript writing, and presentation scripts, a researcher or data analyst can ensure small changes at any step will automatically be reflected throughout using the Rmarkdown, targets, renv, and xaringan R packages.