For more basic resources, see this list from Biol
607
Bayesian
Basics by Michael Clarke
Statistical
Rethinking Recoded
recoding
Introduction to Mediation, Moderation, and Conditional Process
Analysis from A. Solomon Kurz
tidybayes
Prior
Choice Recommendation Wiki
Bayesian
Data Analysis by Gelman et al.
Data
Analysis Using Regression and Multilevel/Hierarchical Models by
Gelman and Hill. My bible.
Forecasting: Principles and
Practice. 2018. Rob Hyndman and George Athanasaopoules. A great
intro to timeseries and forecasting in R.
A Tour of Time Series Analysis with
R
Geocomputation with
R
R-spatial.org with forthcoming
book!
Data Carpentry
Geospatial Workshop
GIS
Resources from University of Chicago
Intro
to Spatial Econometrics in R
Applied Spatial Data Analysis with
R
Introduction
to R for Spatial Analysis and Mapping - uses sp instead
of sf but very useful
R Spatial
Workshop Notes
Spatial
Data Handling
Structural Equation
Modeling for Ecology and Evolutionary Biology My week long workshop
in SEM with slides, code, and readings
Jon Lefcheck’s Notes in
SEM in EEB
Jim
Grace’s SEM tutorials
The
Book of Why Judea Pearl’s intro to causal thinking from an
approachable general audience perspective
Principles of
Econometrics with R 2016. Constantin Colonescu. Yes, it’s
econometrics, but there’s a lot here that’s very generalizable to
biological data analysis in R as well.
Introduction to
Econometrics with R
Advanced R. 2014. Great
walkthrough of the details and guts of R. From novices to R wizards, you
will learn things you never thought possible (or the actual reasoning
behind that hacky stuff you’ve been doing for years).
Tidy evaluation: The
Bookdown
Using
Git and Github with Rstudio
Git and
Github in Rstudio
Happy with Git. 2006.
Jenny Bryan. Introduction to Git and Github for her class. Very detailed
and walks you through each step.
R Weekly A weekly newsletter
R bloggers R Blogger
aggregator
RStudio Blog
Simply Statistics
Statistical
modeling, causal inference, and social science: Andrew Gelman’s
research group
R-statistics blog
Error Statistics
Philosophy Great source of information on philosophy of statistics
and data analysis
Quantum Forest A shoebox for
scribbles on data analysis by Luis Apiolaza
Inundata from Karthik Ram of
ROpenSci
ROpenSci
Xi’an’s Og
Civil Statistician Former census
statistician
Citizen Statistician
Various stats faculty
Not So Standard
Deviations Listen to this! #Rcatladies
FiveThirtyEight
Elections Podcast: How we use data analysis to forecast
elections.
What’s
the Point: Data in society. From FiveThirtyEight.
Karthik Ram
ROpenSci
Hilary Parker
#RCatLadies
Hadley Wickham
Jenny Bryan
STAT545
Roger D. Peng
Emily Robinson
Scott Chamberlain
R-Ladies Boston
Carly Strasser
The
Logic of Scientific Discovery. 1934. Karl Popper.
The
Methodology of Scientific Research Programs Collected works of Irme
Lakatos
Against
Method Paul Feyerabend’s provocative take on sciene in
context.
For
and Against Method Collected correspondence/dialogue of Imre Lakatos
and Paul Feyerabend