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resources.Rmd
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resources.Rmd
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---
title: "Resources, Blogs, and More"
---
For more basic resources, see [this list from Biol 607](https://biol607.github.io/resources.html)
\
### Bayes
[Bayesian Basics](https://m-clark.github.io/bayesian-basics/) by Michael Clarke
[Statistical Rethinking Recoded](https://bookdown.org/connect/#/apps/1850/access)
[recoding Introduction to Mediation, Moderation, and Conditional Process Analysis](https://bookdown.org/ajkurz/recoding_Hayes_2018/) from A. Solomon Kurz
[tidybayes](http://mjskay.github.io/tidybayes/)
[Prior Choice Recommendation Wiki](https://github.com/stan-dev/stan/wiki/Prior-Choice-Recommendations)
[Bayesian Data Analysis](https://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-Science/dp/1439840954) by Gelman et al.
\
### Mixed Models
[Data Analysis Using Regression and Multilevel/Hierarchical Models](https://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X/) by Gelman and Hill. My bible.
\
### Timeseries
[Forecasting: Principles and Practice](http://otexts.org/fpp2/). 2018. Rob Hyndman and George Athanasaopoules. A great intro to timeseries and forecasting in R.
[A Tour of Time Series Analysis with R](http://tts.smac-group.com/)
\
### Spatial Analysis (GIS and Modeling)
[Geocomputation with R](https://geocompr.robinlovelace.net/)
[R-spatial.org](https://www.r-spatial.org/) with forthcoming [book](https://keen-swartz-3146c4.netlify.com/)!
[Data Carpentry Geospatial Workshop](https://datacarpentry.org/geospatial-workshop/)
[GIS Resources from University of Chicago](https://spatial.uchicago.edu/content/giscience-education)
[Intro to Spatial Econometrics in R](http://www.econ.uiuc.edu/~lab/workshop/Spatial_in_R.html)
[Applied Spatial Data Analysis with R](https://asdar-book.org/)
[Introduction to R for Spatial Analysis and Mapping](https://www.amazon.com/Introduction-Spatial-Analysis-Mapping/dp/1446272958/) - uses `sp` instead of `sf` but very useful
[R Spatial Workshop Notes](https://spatialanalysis.github.io/workshop-notes/)
[Spatial Data Handling](https://spatialanalysis.github.io/lab_tutorials/1_R_Spatial_Data_Handling.html)
\
### SEM, Causality, and All That
[Structural Equation Modeling for Ecology and Evolutionary Biology](https://jebyrnes.github.io/semclass/) My week long workshop in SEM with slides, code, and readings
[Jon Lefcheck's Notes in SEM in EEB](https://jslefche.github.io/sem_book/)
[Jim Grace's SEM tutorials](https://www.usgs.gov/centers/wetland-and-aquatic-research-center/science/quantitative-analysis-using-structural-equation?qt-science_center_objects=0#qt-science_center_objects)
[The Book of Why](https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X) Judea Pearl's intro to causal thinking from an approachable general audience perspective
\
### Econometrics
[Principles of Econometrics with R](https://bookdown.org/ccolonescu/RPoE4/) 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](https://bookdown.org/machar1991/ITER/)
\
### R
[Advanced R](http://adv-r.had.co.nz/). 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](https://tidyeval.tidyverse.org/)
\
### Github
[Using Git and Github with Rstudio](http://www.molecularecologist.com/2013/11/using-github-with-r-and-rstudio/)\
[Git and Github in Rstudio](http://www.datasurg.net/2015/07/13/rstudio-and-github/)\
[Happy with Git](http://happygitwithr.com/index.html). 2006. Jenny Bryan. Introduction to Git and Github for her class. Very detailed and walks you through each step.
### Blogs
[R Weekly](https://rweekly.org/) A weekly newsletter\
[R bloggers](http://www.r-bloggers.com/) R Blogger aggregator\
[RStudio Blog](https://blog.rstudio.org/)\
[Simply Statistics](http://simplystatistics.org/)\
[Statistical modeling, causal inference, and social science](http://www.stat.columbia.edu/~gelman/blog/): Andrew Gelman's research group\
[R-statistics blog](http://www.r-statistics.com/)\
[Error Statistics Philosophy](http://errorstatistics.com/)\ Great source of information on philosophy of statistics and data analysis\
[Quantum Forest ](http://www.quantumforest.com/) A shoebox for scribbles on data analysis by Luis Apiolaza
[Inundata](http://inundata.org/) from Karthik Ram of ROpenSci
[ROpenSci](https://ropensci.org/blog/)\
[Xi'an's Og](http://xianblog.wordpress.com/)\
[Civil Statistician](http://civilstat.com/) Former census statistician\
[Citizen Statistician](http://citizen-statistician.org/) Various stats faculty
### Podcasts
[Not So Standard Deviations](https://soundcloud.com/nssd-podcast) Listen to this! #Rcatladies
[FiveThirtyEight Elections Podcast](http://fivethirtyeight.com/tag/fivethirtyeight-podcasts/): How we use data analysis to forecast elections.
[What's the Point](http://fivethirtyeight.com/tag/fivethirtyeight-podcasts/): Data in society. From FiveThirtyEight.
### Twitter Feeds
[Karthik Ram](https://twitter.com/_inundata)\
[ROpenSci](https://twitter.com/ropensci)\
[Hilary Parker](https://twitter.com/hspter)\
[#RCatLadies](https://twitter.com/rcatladies)\
[Hadley Wickham](https://twitter.com/hadleywickham)\
[Jenny Bryan](https://twitter.com/JennyBryan)\
[STAT545](https://twitter.com/STAT545)\
[Roger D. Peng](https://twitter.com/rdpeng)\
[Emily Robinson](https://twitter.com/robinson_es)\
[Scott Chamberlain](https://twitter.com/sckottie)\
[R-Ladies Boston](https://twitter.com/RLadiesBoston)\
[Carly Strasser](https://twitter.com/carlystrasser)
### Philosophy
[The Logic of Scientific Discovery](https://www.amazon.com/Logic-Scientific-Discovery-Routledge-Classics/dp/0415278449/ref=sr_1_2?ie=UTF8&qid=1474044878&sr=8-2&keywords=karl+popper). 1934. Karl Popper.\
[The Methodology of Scientific Research Programs](https://www.amazon.com/Methodology-Scientific-Research-Programmes-Philosophical/dp/0521280311/ref=sr_1_5?ie=UTF8&qid=1474044943&sr=8-5&keywords=lakatos) Collected works of Irme Lakatos\
[Against Method](https://www.amazon.com/Against-Method-Paul-Feyerabend/dp/1844674428/ref=sr_1_1?ie=UTF8&qid=1474045065&sr=8-1&keywords=Against+Method) Paul Feyerabend's provocative take on sciene in context. \
[For and Against Method](https://www.amazon.com/Against-Method-Scientific-Lakatos-Feyerabend-Correspondence/dp/0226467759/ref=sr_1_2?ie=UTF8&qid=1474044943&sr=8-2&keywords=lakatos) Collected correspondence/dialogue of Imre Lakatos and Paul Feyerabend\