Shiny Apps
HarrellPlot
A plotting tool for researchers, instructors, and students combining data, distribution summary, model effects, and uncertainty in a single plot
Jeff Walker is a Professor of Biological Sciences at the University of Southern Maine with a background in geometric morphometrics, biomechanical modeling of swimming and flying animals, and modeling performance trade-offs in functional systems. More recent work is devoted to developing tools for best statistical practices in biology.
PhD in Anatomical Sciences, 1995
Stony Brook University
BA in Geological Sciences, 1988
University of Pennsylvania
A plotting tool for researchers, instructors, and students combining data, distribution summary, model effects, and uncertainty in a single plot
Some ecology. Some physiology. Much fake data.
What is an R doodle? An R doodle is a short script to check intuition or understanding. Almost always, this involves generating fake data.
Where can I find R doodles? Here. Some of these will be expanded into longer, interactive quasi-publications. Some of these might be fleshed out into manuscripts for archiving at PeerJ preprints or bioR$\chi$iv. Others will be expanded into Shiny apps. Some I might even submit for publication in a journal.
exploring statistical methods in ecology and physiology with wee bits of R
Combining data, distribution summary, model effects, and uncertainty in a single plot Pre-preprint Shiny
Bias in pre-post designs – An example from the Turnbaugh et al (2006) mouse fecal transplant study Pre-preprint
A full-list is found at my Google Scholar page. PDFs can be found at my Research Gate page.
Walker, J.A. (2017). On Model Averaging Partial Regression Coefficients. BioRxiv 133785. bioRxiv
Walker, J.A. (2016). Monte Carlo simulation of OLS and linear mixed model inference of phenotypic effects on gene expression. PeerJ 4, e2575. PeerJ
Walker, J.A., and Caddigan, S.P. (2015). Performance trade-offs and individual quality in decathletes. Journal of Experimental Biology 218, 3647–3657. JEB
Walker, J.A. (2014). The effect of unmeasured confounders on the ability to estimate a true performance or selection gradient (and other partial regression coefficients). Evolution 68, 2128–2136. Evolution
Walker, J.A., Alfaro, M.E., Noble, M.M., and Fulton, C.J. (2013). Body fineness ratio as a predictor of maximum prolonged-swimming speed in coral reef fishes. PLoS ONE 8, e75422. Evolution
Lots more to come
Statistics for the Experimental Biologist HTML
Data From – weekly posts analyzing data from the experimental bench biology literature HTML
Physics for Introductory Biology HTML
Quantitative Problems for Human Physiology HTML
An elementary explanation of confounding (a very working explanation) HTML
Getting started with R HTML
Bike Geometry Project – exploring and classifying gravel bike frame geometry HTML