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Tinyverse](https://github.com/eddelbuettel/gsir-te)\n+ [Purrr Tips and Tricks](https://www.hvitfeldt.me/blog/purrr-tips-and-tricks/)\n+ [Awesome Datavisualization with Hexagons on a US Map](https://github.com/othomantegazza/code-tidytuesday/blob/master/2-26-UFO.R)\n+ [Text mining for humanists and social scientists in R](https://tm4ss.github.io/docs/index.html)\n\n**Teaching**\n\n+ [An Introduction to Hierarchical Modeling](http://mfviz.com/hierarchical-models/)\n+ [How to create Radar Charts with Whatsapp Data](https://ggplot2tutor.com/radar-chart/radar-chart-whatsapp/)\n\n**Bookdown Contest**\n\n+ [Global_Terrorism_Database_Thesis](https://github.com/pranavpandya84/Global_Terrorism_Database_THESIS)\n+ [https://geocompr.robinlovelace.net/index.html](https://geocompr.robinlovelace.net/index.html)\n+ [mindr bookdown](https://community.rstudio.com/t/bookdown-contest-submission-mindr-convert-a-bookdown-project-into-a-mind-map-and-vice-versa/15121)\n+ [Programming for Psychologists: Data Creation and Analysis](https://crumplab.github.io/programmingforpsych/)\n+ [Creating Posters](https://www.bapt.xyz/blog/posters)\n+ [Dissertation Example](https://github.com/eddiekasner/example-dissertation)\n+ [PhD thesis/Working Paper template](https://github.com/robjhyndman/monashebstemplates)\n\n**Animation**\n\n+ [gganimate](https://github.com/thomasp85/gganimate#gganimate-)\n+ [Animating the Goals of the World Cup with R](https://ryo-n7.github.io/2018-07-24-visualize-worldcup-part-3/)\n\n**Machine Learning**\n\n+ [Code for Workshop: Intro to Machine Learning w/ R](https://shirinsplayground.netlify.com/2018/06/intro_to_ml_workshop_heidelberg/)\n+ [Big Data Analysis in the Social Sciences](http://pablobarbera.com/ECPR-SC105/)\n+ [Hands-on Machine Learning with R](https://bradleyboehmke.github.io/HOML/)\n\n**Topic Models**\n\n+ [{tidystm}](https://github.com/mikajoh/tidystm)\n+ [Learning Structural Topic Modeling](https://github.com/dondealban/learning-stm)\n+ [{stminsights}](https://github.com/methodds/stminsights)\n\n**Web Scraping**\n\n+ [rvest and Rselenium @ useR2018](https://gist.github.com/HanjoStudy/e5b1a425b5436550a66a4e0b05352a51)\n+ [Automated Collection of Web and Social Data](http://pablobarbera.com/ECPR-SC104/)\n+ [{Rcrawler}](https://github.com/salimk/Rcrawler)\n+ [YouTube Channel Analysis - Identifying Influencers-and-Haters](https://towardsdatascience.com/youtube-channel-analysis-identifying-influencers-and-haters-8d7a4c0790c7)\n\n**Non-Standard Evaluation (NSE)**\n\n+ [Tidy Eval Meets ggplot2 - The Bang Bang Plots](http://www.onceupondata.com/2018/07/06/ggplot-tidyeval/)\n+ [{friendlyeval} A friendly interface to tidyeval/rlang that will excuse itself when you're done](https://github.com/MilesMcBain/friendlyeval)\n+ [Programming in the Tidyvderse - Slides](https://speakerdeck.com/lionelhenry/programming-in-the-tidyverse\n)\n\n\n**Hugo Academic**\n\n+ [Tips for using the Hugo academic theme](https://lmyint.github.io/post/hugo-academic-tips/)\n+ [Awesome Website based on the Hugo Academic theme](https://github.com/fliptanedo/FlipWebsite2017)\n+ [Hugo Shortcodes](https://gohugo.io/content-management/shortcodes/)\n\n**Bayesianism**\n\n+ [Building a Multilevel Model in BRMS Tutorial: Popularity Data](https://www.rensvandeschoot.com/brms-started/)\n+ [Statistical Rethinking with brms, ggplot2, and the tidyverse](https://bookdown.org/connect/#/apps/1850/access)\n\n**Artsy Stuff**\n\n+ [{rusk} The goal of rusk is to show a nice representation of multiplication table](https://github.com/ThinkR-open/rusk)\n+ [{colorfindr}](https://github.com/zumbov2/colorfindr)\n\n**Interesting Packages**\n\n+ [{recipes}](https://github.com/topepo/user2018/blob/master/slides/Recipes_for_Data_Processing.pdf)\n+ [{ViewPipeSteps}](https://github.com/daranzolin/ViewPipeSteps)\n+ [{DataPackageR}](https://ropensci.org/blog/2018/09/18/datapackager/)\n\n**Python**\n\n+ [Welcome to COGS18: Introduction to Python!](https://cogs18.github.io/intro/)\n+ [Python for R Users Workshop](https://github.com/MangoTheCat/python-for-r-users-workshop)\n+ [Meme Pipeline](https://github.com/memespaper/memes_pipeline)\n+ [R and Python: How to Integrate the Best of Both into Your Data Science Workflow](https://www.r-bloggers.com/r-and-python-how-to-integrate-the-best-of-both-into-your-data-science-workflow/)\n\n**Rmarkdown**\n\n+ [Creating a basic template package in R](http://ismayc.github.io/ecots2k16/template_pkg/)\n+ [Radix](https://rstudio.github.io/radix/)\n+ [Automated Rmarkdown Reporting](https://medium.com/@urban_institute/iterated-fact-sheets-with-r-markdown-d685eb4eafce)\n\n**Shiny**\n\n+ [A gRadual intRoduction to Shiny](https://laderast.github.io/gradual_shiny/index.html)\n\n**Tools/Functions**\n\n+ [{runner} Rolling functions](https://cran.r-project.org/web/packages/runner/vignettes/runner.html)\n+ [How to create colored titles](https://github.com/danawanzer/tidytuesdayweek18/blob/master/Week_18_-_Dallas_Animal_Shelter_RMD.md)\n+ [R Markdown Scroll](https://github.com/nathaneastwood/r-markdown-scroll)\n+ [Reproducible Research with rrtools](https://annakrystalli.me/rrtools-repro-research/index.html)\n+ [Progress Bars for purrr with {purrrogress}](https://cran.r-project.org/web/packages/purrrogress/readme/README.html)\n+ [{ggfittext}](https://github.com/wilkox/ggfittext)\n\n\n**Weighting**\n\n+ [{TAM}](https://www.rdocumentation.org/packages/TAM/versions/2.12-18/topics/weighted_Stats)\n+ [{srvyr}](https://github.com/gergness/srvyr)\n+ [{Weighted.Desc.Stat}](https://rdrr.io/cran/Weighted.Desc.Stat/man/)\n\n**Readings**\n\n+ [Multiple Regression Is Not Multiple Regressions: The Meaning of Multiple Regression and the Non-Problem of Collinearity](https://quod.lib.umich.edu/cgi/t/text/text-idx?cc=ptpbio;c=ptb;c=ptpbio;idno=16039257.0010.003;view=text;rgn=main;xc=1;g=ptpbiog)\n+ [Alternative Influence: Broadcasting the Reactionary Right on YouTube](https://datasociety.net/wp-content/uploads/2018/09/DS_Alternative_Influence.pdf)\n\n\n**Qualitative Data**\n+ [Diskursanalyse in RQDA](https://rpubs.com/dastan/rqda_hd)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffavstats%2Fawesome_links","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffavstats%2Fawesome_links","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffavstats%2Fawesome_links/lists"}