# ENVIRON710 Tutorial TOC ## Tutorials - [Tutorial 1: Introduction to R Notebook and R Markdown](/bTwZp4MURC6KBFaZQbgfWQ) - [Tutorial 2: Summary Statistics](/Bft7DRK_Rie31wTdqGogxg) - [Working through the Bonus Example: A PhD student's approach to new code](/bbwjgTu4RjiBu9On9ZZVMw) - [Tutorial 2 Bonus Solution](/htJhysA1S9yF_MFXAzIPYA) - [Tutorial 3: Histogram](/EeYdJghuQiKZXAGErUXTtQ) - [Tutorial 4: Importing and joining data](/2SubtESeSMqeFDzpjd9_cg) - [Tutorial 5: Probability and Sampling](/o4-UyN0wRZiLFYhGURhX8A) - [Tutorial 6: Data Wrangling, the t-test and the Log Transformation](/FdJe3PqwQ2SGvE4VD0PvGg) - [Tutorial 7: Welch's t-test](/rmspALadTJelQKEFUWmdag) - [Tutorial 8: Extract values from Welch and Make into a Lovely Table](/Cc4WwF86SBCDk3ZmcZ8eaw) - [Tutorial 9: Paired t-test](/nuINBivmQTego0ND_enIwA) - [Lab2](/QgvarM-oQ3u88KzWfpQfvg) - [Tutorial 10: Simple Linear Regression](/3wJtqkl4ThajFOLDHVT7XA) - [Tutorial 11: Multiple Linear Regression](/gyRItkdTTBGoYBA6NOeo3g) - [Tutorial 11D: MLR_Danny](/Ux7wgWQUTFe3DGN6SUAlpw) - [Tutorial 12: GLR](/2inmL6EcTjatO8W-9ydOhA) - [Tutorial 13: PLM](/nDAvI7nyTIGzGRey5armPg) ## Optional Modules - [Animated Climate Visualization](/8tPSiSWgRmy9N9An3bL8TA) - [Ace Data Science Interview Probability](/bXHxxXD_R2uC4Pe-VgiXQg) - [ChatGPT_lecture](/o6iufEC-RA2HU2Vzn5sFMw) - [Machine Learning with a Naive Bayes Classifier](/BDgclaDnQKiSVRRl5KzK3w) - [Mapping_Environmental_Justice](/kiTVZ8QBRl-L_218wC2vPA) - Panel Data - [Panel data management](/wiDKOlynRq6kCmm90QFECg) - [Random effects panels](/5ah2xHJGSWGj_zsFy137CQ) - [Qualitative Data: The GSS](/ztsfkOb8Q6C15R__D6xPFg) - [Wrangling data with the tidyverse](/8aAUJEW4RLiLV6rqFBbxAw) ## Useful links ### Document - [R Documentation](https://www.rdocumentation.org/) ### r markdown - [What is R Notebook](https://bookdown.org/yihui/rmarkdown/notebook.html) - [Adjust YAML in R Notebook](https://zsmith27.github.io/rmarkdown_crash-course/lesson-4-yaml-headers.html) - [Code Chunk Output and Inline Code](https://zsmith27.github.io/rmarkdown_crash-course/lesson-5-code-chunks-and-inline-code.html) ### data portal / index - [World Bank](https://data.worldbank.org/) - [Worldwide Governance Index (WGI)](https://www.worldbank.org/en/publication/worldwide-governance-indicators#home) - [WHO](https://www.who.int/data) - [Yale's Environmental Performance Index (EPI)](https://epi.envirocenter.yale.edu/) - [Our World in Data](https://ourworldindata.org/) ## Packages ### dplyr - [summarise() - *Statology*](https://www.statology.org/summary-statistics-in-r-dplyr/) - [join() - *dplyr original doc*](https://dplyr.tidyverse.org/reference/mutate-joins.html) - [join() - *Statistics Globe*](https://statisticsglobe.com/r-dplyr-join-inner-left-right-full-semi-anti) ### ggplot2 - [quick guide to histogram - *STHDA*](http://www.sthda.com/english/wiki/ggplot2-histogram-plot-quick-start-guide-r-software-and-data-visualization) - [stacked bar plot - *datavizpyr*](https://datavizpyr.com/stacked-barplot-with-percent-on-x-y-axis/) - [flip the plot - *STHDA*](http://www.sthda.com/english/wiki/ggplot2-rotate-a-graph-reverse-and-flip-the-plot) - [Economist Style plot](http://rstudio-pubs-static.s3.amazonaws.com/284329_c7e660636fec4a42a09eed968dc47f32.html) ### gganimate - [documentation](https://gganimate.com) - [Results demo](https://youtu.be/jbkSRLYSojo?si=7Yd_AQfZlVrQO4Xz) ## Statistical Concept - [Panel Data Model](https://bookdown.org/ccolonescu/RPoE4/panel-data-models.html) - [How to deal with panel data](https://medium.com/@manilwagle/how-to-deal-with-panel-data-practical-application-using-r-18ef95ae99c6) - [When should you cluster standard errors?!](https://blogs.worldbank.org/impactevaluations/when-should-you-cluster-standard-errors-new-wisdom-econometrics-oracle) - [log transformation interpretation](https://library.virginia.edu/data/articles/interpreting-log-transformations-in-a-linear-model)
{"description":"–","title":"ENV 710 Tutorial RMD","contributors":"[{\"id\":\"be8558db-aa82-4f29-a3aa-316014386816\",\"add\":4160,\"del\":144}]"}
Expand menu