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jpiaskowski/README.md

Hello

I'm Julia Piaskowski, a statistician at the University of Idaho, College of Agriculture and Life Sciences. I try to provide resources to support high quality analysis of agriculture studies and adjacent research. I view myself as a 'user advocate' attempting to bridge the gap between complex statistical methodologies/tools and what users actually need to use those. I'm also a Software Carpentries certified instructor.

Some Resources I maintain or help maintain 🔧

Other Stuff 💬

I'm currently working on building guides to linear mixed modelling, generalized linear mixed modelling and reproducible research for busy scientists (links forthcoming when the resources are complete).

My personal website is actually deployed through GitLab, but I use GitHub for most things. I'm currently working on a new theme for my website (hello, scss!), so the current website is not being maintained since a changeover is planned. I also blog on prison and criminal justice issues here.

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  1. IdahoAgStats/r-for-ag-scientists IdahoAgStats/r-for-ag-scientists Public

    Introductory R works for agricultural scientists

    R 3 1

  2. NHANES-vitD-depression-study NHANES-vitD-depression-study Public

    R 2 1

  3. IdahoAgStats/guide-to-field-trial-spatial-analysis IdahoAgStats/guide-to-field-trial-spatial-analysis Public

    A guide on how to identify and incorporate spatial variation into statistical analysis of planned field trials. It is intended for individuals working with agricultural field trial data.

    HTML 5 1

  4. cran-task-views/Agriculture cran-task-views/Agriculture Public

    CRAN Task View: Agricultural Science

    R 30 10

  5. bad-data-guide bad-data-guide Public

    Forked from Quartz/bad-data-guide

    An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

    1

  6. pycas2020_web_scraping pycas2020_web_scraping Public

    Short presentation on web scraping using beautiful soup for the Pycascades conference held February, 2020.

    HTML 16 13