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20250707 - additional resources
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R.Rmd

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@@ -53,11 +53,13 @@ Here are a slew of resources for learning base `R` (in addition to the documents
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The following are resources for learning statistics using `R`.
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- `R` for Data Science: <https://r4ds.hadley.nz>
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- UCLA Stats Website: https://stats.oarc.ucla.edu/other/dae/ (archived at https://perma.cc/FVG5-5X82)
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- `Codeacademy` has free online courses:
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- Descriptive analysis and basic hypothesis testing: https://www.codecademy.com/learn/learn-statistics-with-r
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- Free textbook on Learning Statistics with `R`: https://learningstatisticswithr.com (archived at https://perma.cc/SY87-5GCX)
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- An excellent introductory textbook on Discovering Statistics using `R`: https://www.amazon.com/Discovering-Statistics-Using-Andy-Field/dp/1446200469 (archived at https://perma.cc/9LGU-7ZME)
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- My textbook that teaches `R`/statistics through the lens of fantasy football: https://isaactpetersen.github.io/Fantasy-Football-Analytics-Textbook
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## `tidyverse`
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statistics.Rmd

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```
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# Learning Statistics {#learningStatistics}
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Here are resources for learning statistics:
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- OpenIntro Statistics: https://www.openintro.org/book/os/
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- Introductory Statistics: https://openstax.org/details/books/introductory-statistics-2e
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# Statistical Decision Tree {#statisticalDecisionTree}
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![A Statistical Decision Tree For Choosing an Appropriate Statistical Procedure. Adapted from: <https://commons.wikimedia.org/wiki/File:InferentialStatisticalDecisionMakingTrees.pdf>. The original source is: Corston, R., & Colman, A. M. (2000). *A crash course in SPSS for Windows*. Wiley-Blackwell. Changes were made to the original, including the addition of several statistical tests.](images/statisticalDecisionTree.png)

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