- Three Stars = Excellent
- Two Stars = Great
- One Star = Good
- No Star = Still useful, but save for last
- Hands On Programming in R ⭐ ⭐
- Slow R ⭐ ⭐ ⭐
- No Star = Good
- Star = Excellent
- [ Math camp] (http://www.csss.washington.edu/academics/math-camp/lectures)
- nice courses
- useful
- Intro to linear regression in R
- NYU carpentry - more - episodes
- [NYU carpentry - good] (https://swcarpentry.github.io/r-novice-inflammation/03-loops-R/index.html) - click on episodes.
- Intro to R Workshop - ⭐ good stats stuff here too
- R Bootcamp - also some good stats tutorials here ⭐
- UCLA R & Stats Website ⭐ ⭐ ⭐
- University of Cincinnati R programming guide - Click on top left to see all Info. ⭐
- Using R for introductory econometircs - SHowing how to do everything in wooldridge in R. ⭐
- Swirl
- https://iqss.github.io/prefresher/
- R Course
- Advanced quant methods - The courses (1-11) are very well done. Worth going through the slides and .rmd ⭐
- R workshops from harvard - Four short and concise courses. Regression, graphics, data wrangling. ⭐
- Categorical Regression Models ⭐
- Biol 355/356: Intro to Data Science for Biology ⭐
- GLM ⭐
- Learning Statistics With R ⭐
- Time Series R ⭐
- Simple linear regression ⭐
- more nyu r learning⭐
- Math Prefresher for poli sci studnets ⭐
- Advanced statistics course ⭐
- Answering questions with Data ⭐ - Doesn't even get to OLS, but what it does go over, it does well.
- https://data.princeton.edu/wws509/R
- Regression Models for Data science in R⭐
- Data Science Specialization Course notes - ⭐
- Statistical Inference for data science - Very basic, but what it describes, it describes it well. Doesnt even do OLS. ⭐
- GLM - The R logs are quite good ⭐
- MSc Conversion in Psychological Studies/Science ⭐
- Quick-R ⭐
- An Introduction to R ⭐
- Data Skills for Reproducible Scinece - Goes over working with Data and Stats ⭐
- Interactive data viz
- Nice R Site
- Good stuff here
- https://projects.iq.harvard.edu/gov2001
- Organized list of good youtube videos ⭐
- Good youtube series ⭐
- Econometrics in R ⭐
- Intro to Econometrics with R ⭐
- Logit, probit and multinomial logit in R ⭐
- some useful R tutorials here ⭐
- Linear Regression with R ⭐
- Intro to data analysis ⭐
- R and Statistics ⭐
- Getting Started in R ⭐
- YaRrr the pirates guide to R ⭐
- Interpreting ols output in R ⭐
- Learning Statistics in R ⭐
- https://data.princeton.edu/R/GLMs
- Practical Regression and Anova using R - Old but seems like it would still be useful.
- Interesting book
- [R course] (https://github.com/uo-ec607/lectures)
- Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R
- Introduction to Quantitative Methods in R - Most advanced it gets is OLS.
- Regression analysis in R
- Good Econometric Course
- Multiple linear regression R
- Data analysis and predictin algorithms with r
- Using R for Data Analysis and Graphics
- Data Analysis and Prediction Algorithms with R
- Applied Econometrics with R-
- statstools
- Good Youtube two minute tutorials
- Purdue R tutorial
- Quantitative Analysis - Applied Inferential Statistics
- http://www.stephenpettigrew.com/r/
- Open data science masters
- Modeling Social Data
- (Very) basic steps to weight a survey sample
- Step by Step how to analyze public datasets - includes ANES
- Intro to data science
- CUrated listed of how to learn R
- R for the rest of us -shiny
- What they forgot to teach you about R
- Nice R and data viz courses - An introduction to data cleaning with R ⭐
- Advanced R ⭐
- R Programming for Data Science ⭐
- Introduction to Data Science ⭐
- Efficient R programming ⭐
- R for data science ⭐
- Exploratory data analysis with R ⭐
- R-Data Analysis & Visualization In Science ⭐
- Intro to R Workshop - ⭐ good stats stuff here too
- R Bootcamp - also some good stats tutorials here ⭐
- some nyu courses -the class materials are good (intro, wrangling, data viz). download the rmarkdown and your good. ⭐
- An introduction to Data Cleaning with R ⭐
- RStudio Primers ⭐
- R For Psychological Science - Goes over basic R stuff, like loops, really well. ⭐
- an introduction to R for non-programmers ⭐
- Programming with R ⭐
- Data wrangling, exploration, and analysis with R ⭐
- Data Cleaning ⭐
- Data cleaning tricks ⭐
- Hands-On Programming with R ⭐
- Github for the R user ⭐
- Slow Intro to R ⭐
- Intro to R
- Ton of R courses
- An Introduction to R
- Introduction to Data Exploration and Analysis with R
- R for academics
- Data science for psychologists
- Importing and Cleaning Data in R: Case Studies
- How to start a bookdown book
- R for reproducible scientific analysis
- Has some useful R markdown tips
- Manuscripts in Rmarkdown-
- Youtube Video about R markdown
- Official R markdown site with tutorial
- How to R markdown
- topics in R -some good markdown stuff
- R Markdown Basics
- Slides
- Markdown tutorial
- R Markdown video
- bookdown: Authoring Books and Technical Documents with R Markdown
- Intro to R Markdown
- Pimp my Rmarkdown
- R Markdown: The definitive guide
- R markdwon for scientists
- R markdown cookbook
- some nyu courses -the class materials are good (intro, wrangling, data viz). download the rmarkdown and your good. ⭐
- R graphics - an idiots guide⭐
- BBC Visual and Data Journalism cookbook for R graphics⭐
- Fundamentals of Data Visualization⭐
- [Data viz book] (http://socviz.co/workgeoms.html#label-outliers)
- R Tips - Basically R FAQ.
- Various R tutorials
- Package to Teach you R
- Rtips
- Cool R shiny apps
- RWeekly
- CRANberries - info about new packages
- R FAQ
- How to get help in R
- Most useful R tricks
- Useful slack group for questions
- Stack-Overflow R Resourcees
- R Codebook ⭐
- R code examples for a number of common data analysis tasks - This is very good. Basically shows how to do code for common things we do.:star:
- Learn R⭐
- a compendium of r commands to teach statistics ⭐
- [R Functions for Reegression Analysis] (https://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdf) ⭐
- Common R commands used in Data Analysis and Statistical Inference
- Good R reference card- ⭐
- Psychometric Models and Methods- ⭐
- How to do Econometric Stats in R- ⭐
- How to do 604 Stats in R- ⭐
- How to deal with missing data in R- ⭐
- How Do I?... In R - ⭐
- R Cheat Sheet- ⭐
- R Cheat Sheet- ⭐
- R <-> Stata
- Modern R with tidyverse
- good stuff in courses
- Math Prefresher for political science students- ⭐
- Basic Statistics- ⭐
- Advanced Data Analysisfrom an Elementary Point of View- ⭐
- StatTrek- ⭐
- Introduction to mathematics for political scientists- ⭐
- Good List of workshops from Cornell- ⭐
- Econometric Academy- ⭐
- JB statistics- ⭐
- statquest- ⭐
- GLM and multilevel models- ⭐
- Duke Math Camp- ⭐