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Title: GitHub - Joe-Rstats/Books: R & Stats Books and Websites that I think are good.

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Hands On Programming in Rhttps://rstudio-education.github.io/hopr/
Slow Rhttps://psu-psychology.github.io/r-bootcamp-2019/talks/slow-r.html
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http://www.csss.washington.edu/academics/math-camp/lectureshttp://www.csss.washington.edu/academics/math-camp/lectures
nice courseshttps://ditraglia.com
usefulhttps://faculty.washington.edu/cadolph/
Intro to linear regression in Rhttps://stats.idre.ucla.edu/r/seminars/introduction-to-regression-in-r/
NYU carpentry - morehttps://datacarpentry.org/r-socialsci/
https://swcarpentry.github.io/r-novice-inflammation/03-loops-R/index.htmlhttps://swcarpentry.github.io/r-novice-inflammation/03-loops-R/index.html
Intro to R Workshophttps://github.com/UCIDataScienceInitiative/IntroR_Workshop
R Bootcamphttps://www.jaredknowles.com/r-bootcamp/
UCLA R & Stats Websitehttps://stats.idre.ucla.edu/
University of Cincinnati R programming guidehttp://uc-r.github.io
Using R for introductory econometircshttp://www.urfie.net/read/mobile/index.html#p=1
Swirlhttps://swirlstats.com
https://iqss.github.io/prefresher/https://iqss.github.io/prefresher/
R Coursehttps://github.com/jameslamb/teaching/tree/master/mu_rprog
Advanced quant methodshttps://tvpollet.github.io/PY0794/#course-manual
R workshops from harvardhttps://dss.iq.harvard.edu/workshop-materials#widget-1
Categorical Regression Modelshttps://m-clark.github.io/docs/logregmodels.html
Biol 355/356: Intro to Data Science for Biologyhttps://biol355.github.io/schedule.html
GLMhttps://rpubs.com/davoodastaraky/GLM
Learning Statistics With Rhttps://learningstatisticswithr.com/book/
Time Series Rhttps://rpubs.com/bensonsyd/389857
Simple linear regressionhttps://rpubs.com/bensonsyd/364877
more nyu r learninghttps://nyu-cdsc.github.io/learningr/
Math Prefresher for poli sci studnetshttps://iqss.github.io/prefresher/
Advanced statistics coursehttp://statstools.com/learn/advanced-statistics/
Notes to accompany the videoshttps://osf.io/dnuyv/
Answering questions with Datahttps://crumplab.github.io/statistics/
https://data.princeton.edu/wws509/Rhttps://data.princeton.edu/wws509/R
Regression Models for Data science in Rhttps://leanpub.com/regmods/read#leanpub-auto-poisson-regression
Data Science Specialization Course noteshttp://sux13.github.io/DataScienceSpCourseNotes/
Statistical Inference for data sciencehttps://leanpub.com/LittleInferenceBook/read
GLMhttps://data.princeton.edu/wws509/R
MSc Conversion in Psychological Studies/Sciencehttps://psyteachr.github.io/msc-conv-f2f/
Quick-Rhttps://www.statmethods.net/
An Introduction to Rhttp://personality-project.org/r/short_courses/aps-short.pdf
Data Skills for Reproducible Scinecehttps://psyteachr.github.io/msc-data-skills/index.html
Interactive data vizhttps://plotly-r.com
Nice R Sitehttps://preludeinr.com
Good stuff herehttps://github.com/pmaji/data-science-toolkit
https://projects.iq.harvard.edu/gov2001https://projects.iq.harvard.edu/gov2001
Organized list of good youtube videoshttp://flavioazevedo.com/stats-and-r-blog/2016/9/13/learning-r-on-youtube
Good youtube serieshttps://www.youtube.com/channel/UCRJyvz_aLmJLFimTZ9kH1Lg
Econometrics in Rhttps://tyleransom.github.io/econometricslabs.html
Intro to Econometrics with Rhttps://www.econometrics-with-r.org/
Logit, probit and multinomial logit in Rhttps://dss.princeton.edu/training/LogitR101.pdf
some useful R tutorials herehttp://www.econ.uiuc.edu/~econ508/e-ta.html
Linear Regression with Rhttps://dss.princeton.edu/training/Regression101R.pdf
Intro to data analysishttps://github.com/UCIDataScienceInitiative/IDA-with-R
R and Statisticshttp://www.dartistics.com/index.html
Getting Started in Rhttps://rcatlord.github.io/GSinR/
YaRrr the pirates guide to Rhttps://bookdown.org/ndphillips/YaRrr/
Interpreting ols output in Rhttps://feliperego.github.io/blog/2015/10/23/Interpreting-Model-Output-In-R
Learning Statistics in Rhttps://ademos.people.uic.edu/index.html
https://data.princeton.edu/R/GLMshttps://data.princeton.edu/R/GLMs
Practical Regression and Anova using Rhttps://people.bath.ac.uk/jjf23/book/pra.pdf
Interesting bookhttps://rafalab.github.io/dsbook/random-variables.html
https://github.com/uo-ec607/lectureshttps://github.com/uo-ec607/lectures
Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in Rhttps://bookdown.org/ripberjt/qrmbook/
Introduction to Quantitative Methods in Rhttps://bookdown.org/ejvanholm/Textbook/
Regression analysis in Rhttps://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html
Good Econometric Coursehttps://github.com/edrubin/EC525S19
http://edrub.in/ARE212/index.htmlhttp://edrub.in/ARE212/index.html
Multiple linear regression Rhttps://rpubs.com/bensonsyd/385183
Data analysis and predictin algorithms with rhttps://rafalab.github.io/dsbook/
Using R for Data Analysis and Graphicshttps://cran.r-project.org/doc/contrib/usingR.pdf
Data Analysis and Prediction Algorithms with Rhttps://rafalab.github.io/dsbook/
Applied Econometrics with Rhttps://eeecon.uibk.ac.at/~zeileis/teaching/AER/
statstoolshttp://statstools.com/learn/
Good Youtube two minute tutorialshttps://www.youtube.com/playlist?list=PLcgz5kNZFCkzSyBG3H-rUaPHoBXgijHfC
Purdue R tutorialhttps://www.stat.purdue.edu/scs/docs/R_Introduction.pdf
Quantitative Analysis - Applied Inferential Statisticshttps://slu-soc5050.github.io
http://www.stephenpettigrew.com/r/http://www.stephenpettigrew.com/r/
Open data science mastershttp://datasciencemasters.org
Modeling Social Datahttp://modelingsocialdata.org/syllabus/
(Very) basic steps to weight a survey samplehttps://bookdown.org/jespasareig/Book_How_to_weight_a_survey/
Step by Step how to analyze public datasetshttp://asdfree.com
Intro to data sciencehttps://rafalab.github.io/dsbook/importing-data.html
CUrated listed of how to learn Rhttps://osf.io/be7yt/wiki/Learning%20R/
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#r-without-stats
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#books
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#coding-books
R for the rest of ushttps://rfortherestofus.com/courses/getting-started/
shinyhttps://laderast.github.io/gradual_shiny/
What they forgot to teach you about Rhttps://rstats.wtf
Nice R and data viz courseshttps://www.yan-holtz.com/teaching
An introduction to data cleaning with Rhttps://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf
Advanced Rhttps://adv-r.hadley.nz
R Programming for Data Sciencehttps://bookdown.org/rdpeng/rprogdatascience/
Introduction to Data Sciencehttps://beanumber.github.io/sds192/index.html
Efficient R programminghttps://csgillespie.github.io/efficientR/
R for data sciencehttps://r4ds.had.co.nz
Exploratory data analysis with Rhttps://bookdown.org/rdpeng/exdata/
R-Data Analysis & Visualization In Sciencehttps://gge-ucd.github.io/R-DAVIS/index.html
Intro to R Workshophttps://github.com/UCIDataScienceInitiative/IntroR_Workshop
R Bootcamphttps://www.jaredknowles.com/r-bootcamp/
some nyu courseshttps://guides.nyu.edu/r
An introduction to Data Cleaning with Rhttps://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf
RStudio Primershttps://rstudio.cloud/learn/primers
R For Psychological Sciencehttps://psyr.org/
an introduction to R for non-programmershttp://swcarpentry.github.io/r-novice-gapminder/
Programming with Rhttp://swcarpentry.github.io/r-novice-inflammation/
Data wrangling, exploration, and analysis with Rhttps://stat545.com
Data Cleaninghttps://www.kaggle.com/rtatman/data-cleaning-challenge-json-txt-and-xls/
Data cleaning trickshttps://github.com/underthecurve/r-data-cleaning-tricks
Hands-On Programming with Rhttps://rstudio-education.github.io/hopr/
Github for the R userhttps://happygitwithr.com
Slow Intro to Rhttps://psu-psychology.github.io/r-bootcamp-2019/talks/slow-r.html
Intro to Rhttps://billpetti.github.io/Crash_course_in_R/
Ton of R courseshttps://robchavez.github.io/datascience_gallery/
An Introduction to Rhttps://cran.r-project.org/doc/manuals/R-intro.pdf
Introduction to Data Exploration and Analysis with Rhttps://bookdown.org/mikemahoney218/IDEAR/
R for academicshttps://bookdown.org/marius_mather/Rad/
Data science for psychologistshttps://bookdown.org/hneth/ds4psy/
Importing and Cleaning Data in R: Case Studieshttps://rpubs.com/williamsurles/291422
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#r-markdown
How to start a bookdown bookhttp://seankross.com/2016/11/17/How-to-Start-a-Bookdown-Book.html
R for reproducible scientific analysishttp://swcarpentry.github.io/r-novice-gapminder/
Has some useful R markdown tipshttps://cran.r-project.org/web/views/ReproducibleResearch.html
Manuscripts in Rmarkdownhttps://stirlingcodingclub.github.io/Manuscripts_in_Rmarkdown/Rmarkdown_notes.html
Youtube Video about R markdownhttps://www.youtube.com/watch?v=Nj9J5iCSMB0
Official R markdown site with tutorialhttps://rmarkdown.io.com/index.html
How to R markdownhttp://rpubs.com/collnell/howto_rmd
topics in Rhttps://github.com/UCIDataScienceInitiative/Topics_In_R
R Markdown Basicshttps://stats.idre.ucla.edu/r/seminars/r-markdown-basics/
Slideshttps://geocompr.github.io/user_19/presentation/#12
Markdown tutorialhttps://github.com/rstudio-education/communicate-rmd-workshop
R Markdown videohttps://www.youtube.com/watch?v=CHBOVuo6RCo&feature=youtu.be
bookdown: Authoring Books and Technical Documents with R Markdownhttps://bookdown.org/yihui/bookdown/
Intro to R Markdownhttps://m-clark.github.io/Introduction-to-Rmarkdown/
Pimp my Rmarkdownhttps://holtzy.github.io/Pimp-my-rmd/#text_formating
R Markdown: The definitive guidehttps://bookdown.org/yihui/rmarkdown/
R markdwon for scientistshttps://rmd4sci.njtierney.com
R markdown cookbookhttps://bookdown.org/yihui/rmarkdown-cookbook/
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#data-visualization-books
some nyu courseshttps://guides.nyu.edu/r
R graphics - an idiots guidehttp://rpubs.com/SusanEJohnston/7953
BBC Visual and Data Journalism cookbook for R graphicshttps://bbc.github.io/rcookbook/
Fundamentals of Data Visualizationhttps://serialmentor.com/dataviz/
http://socviz.co/workgeoms.html#label-outliershttp://socviz.co/workgeoms.html#label-outliers
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#online-resources
R Tipshttp://pj.freefaculty.org/R/Rtips.html
Various R tutorialshttps://ourcodingclub.github.io/tutorials/
Package to Teach you Rhttps://swirlstats.com/
Rtipshttps://twitter.com/rlangtip
Cool R shiny appshttp://wiki.mgto.org/doku.php/r_shiny_apps
RWeeklyhttps://rweekly.org
CRANberrieshttp://dirk.eddelbuettel.com/cranberries/about/
R FAQhttps://stackoverflow.com/questions/tagged/r-faq
How to get help in Rhttps://stackoverflow.com/questions/15289995/how-to-get-help-in-r
Most useful R trickshttps://stackoverflow.com/questions/1295955/what-is-the-most-useful-r-trick
Useful slack group for questionshttps://www.rfordatasci.com/about/
Stack-Overflow R Resourceeshttps://stackoverflow.com/tags/r/info
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#list-of-r-code
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#statistical-code
R Codebookhttp://www.cookbook-r.com
R code examples for a number of common data analysis taskshttp://dwoll.de/rexrepos/
Learn Rhttps://learnxinyminutes.com/docs/r/
a compendium of r commands to teach statisticshttp://mosaic-web.org/go/Master-Core.pdf
https://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdfhttps://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdf
Common R commands used in Data Analysis and Statistical Inferencehttp://www2.stat.duke.edu/~mc301/R/Rcommands.pdf
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#r-code
Good R reference cardhttps://cran.r-project.org/doc/contrib/Short-refcard.pdf
Psychometric Models and Methodshttps://cran.r-project.org/web/views/Psychometrics.html
How to do Econometric Stats in Rhttps://cran.r-project.org/web/views/Econometrics.html
How to do 604 Stats in Rhttps://cran.r-project.org/web/views/SocialSciences.html
How to deal with missing data in Rhttps://cran.r-project.org/web/views/MissingData.html
How Do I?... In Rhttps://smach.github.io/R4JournalismBook/HowDoI.html
R Cheat Sheethttps://www.sas.upenn.edu/~baron/from_cattell/refcard.pdf
R Cheat Sheethttps://cran.r-project.org/doc/contrib/Short-refcard.pdf
R <-> Statahttps://www.princeton.edu/~otorres/RStata.pdf
Modern R with tidyversehttps://b-rodrigues.github.io/modern_R/graphs.html#resources
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#statistics-without-r
good stuff in courseshttps://www3.nd.edu/~rwilliam/
Math Prefresher for political science studentshttps://bookdown.org/kuriwaki/prefresher/prefresher.pdf
Basic Statisticshttps://crumplab.github.io/statistics/foundations-for-inference.html#the-crump-test
Advanced Data Analysisfrom an Elementary Point of Viewhttp://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf
StatTrekhttps://stattrek.com
Introduction to mathematics for political scientistshttp://brendancooley.com/imps2019/
Good List of workshops from Cornellhttp://www.cscu.cornell.edu/workshops/catalog.php
Econometric Academyhttps://sites.google.com/site/econometricsacademy/
JB statisticshttps://www.jbstatistics.com
statquesthttps://statquest.org/video-index/
GLM and multilevel modelshttps://bookdown.org/roback/bookdown-bysh/
Duke Math Camphttp://people.duke.edu/~das76/Mathematics%20for%20Political%20and%20Social%20Research%20Syllabus_Siegel.pdf
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#other
Machine learning coursehttps://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
Version control w git hub, learn it ehrehttps://swcarpentry.github.io/git-novice/
Links to r resourceshttps://awesomeopensource.com/projects/r?categoryPage=2
Courseshttps://docs.google.com/spreadsheets/d/1LtaeWPzEhRiy-kdNZBn0gPwc6aTYkWtt6Cau6PzcXuo/edit#gid=0
600 R websiteshttps://www.datasciencecentral.com/profiles/blogs/600-websites-about-r
ML tutorioalhttps://koalaverse.github.io/machine-learning-in-R/
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#research-design
Research design course from LSEhttps://thomasleeper.com/designcourse/
https://patch-diff.githubusercontent.com/Joe-Rstats/Books#dissertation-websites
Advicehttps://github.com/edrubin/Advice
Writing your thesis with r markdownhttps://paulvanderlaken.com/2017/09/01/writing-your-thesis-with-r-markdown-1-getting-started/
Dissertating with Bookdownhttps://bookdown.org/thea_knowles/dissertating_rmd_presentation/nitty-gritty-stuff.html#predefined-functions
One year to dissertatehttps://livefreeordichotomize.com/2018/09/14/one-year-to-dissertate/
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