Here’s my latest post dealing with time series analysis in R, using the Bayesian modelling framework: INLA, visualizing the results using ggplot2.
Link: here
Feel free to comment below!
Tim
Blog Posts
RE: Global climatic drivers of leaf size
This post was originally written as a response to Wright et al, and is supplemental to the eLetter we wrote in response to that acticle.
Link: here
Feel free to comment below!
Tim
Plotting PCA results in R using FactoMineR and ggplot2
Check out my recent tutorial on how to produce and visualize a PCA using FactoMineR and ggplot2, posted on my Github Pages site.
Link: here
Feel free to comment below!
Tim
More Data, Lower Cost – DIY Electronics Tackle Global Change
A news article highlighting the microcontroller-based microenvironmental sensor units my colleagues and I have been working on!
https://today.uconn.edu/2019/01/data-lower-cost-diy-electronics-tackle-global-change/#/
Bayesian Regression Analysis in R using brms
Here’s my most recent post talking about Bayesian regression analysis in R using the incredible versatile and flexible modeling package, brms by Paul Buerkner.
Link: here
Feel free to comment below!
Tim
Timothy E. Moore 