gitextract_c_u5i91x/

├── .gitignore
├── ANOVA in R/
│   ├── README.md
│   └── Script - anova in R.R
├── ANOVA in R - a complete example/
│   ├── README.md
│   └── Script - ANOVA in R - a complete example.R
├── Add great alt text /
│   ├── README.md
│   └── alt text.qmd
├── All about facets/
│   ├── README.md
│   └── script - facets.R
├── All about system prompts/
│   ├── README.md
│   └── script - system prompts.R
├── Avoiding data dredging/
│   ├── README.md
│   └── Script - data dredging.R
├── Beautiful bar charts in R/
│   ├── README.md
│   └── Script - beautiful bar charts in R.R
├── Beautiful presentations/
│   ├── README.md
│   ├── dt_example.xlsx
│   └── quarto presentations.qmd
├── Beautiful tables with gt/
│   ├── README.md
│   └── gt tables.qmd
├── Better box plots with ggplot/
│   ├── README.md
│   └── Script - better box plots with ggplot.R
├── Bibliographies with R and Quarto/
│   ├── Quarto bibliographies.qmd
│   ├── README.md
│   ├── elsevier-with-titles.csl
│   └── my-bib.bib
├── Binning variables in R/
│   ├── README.md
│   ├── script - binning variables.R
│   └── titanic.xlsx
├── Bivariate continuous probability distributions/
│   └── README.md
├── Combining columns in R with unite()/
│   ├── README.md
│   └── unite.R
├── Combining data sets with left_join/
│   ├── README.md
│   └── left_join.R
├── Combining observations with bind_rows()/
│   ├── README.md
│   └── bind_rows.R
├── Computing normal probabilities examples/
│   └── README.md
├── Conditional probability distributions/
│   └── README.md
├── Contingency tables in R/
│   ├── README.md
│   └── Script - contingency tables.R
├── Controlling the family-wise error rate/
│   ├── README.md
│   └── Script - controlling the fwer.R
├── Creating columns with mutate/
│   ├── README.md
│   └── script - mutate.R
├── Cross references in R and Quarto/
│   ├── README.md
│   └── cross references.qmd
├── Data analysis - Billboard Hot 100/
│   ├── README.md
│   └── Script - billboard_top_100.R
├── Data analysis - US colleges/
│   ├── README.md
│   └── Script - analyzing college data.R
├── Data analysis - age gaps and bechdel tests/
│   ├── README.md
│   └── script - age gaps.R
├── Data analysis - floristic quality/
│   ├── README.md
│   ├── Script - floristic quality data.R
│   └── student floristic quality data/
│       ├── lfc_fqa_team1.xlsx
│       ├── lfc_fqa_team2.xlsx
│       └── lfc_fqa_team3.xlsx
├── Data analysis - scooby doo/
│   ├── README.md
│   └── script - analyzing scooby doo.R
├── Data visualization in 36 minutes/
│   ├── README.md
│   └── Script - dataviz.R
├── Data wrangling with R/
│   ├── README.md
│   └── script - data wrangling.R
├── Deviance in logistic regression/
│   ├── README.md
│   └── script - deviance in log models.R
├── Discrete bivariate distributions/
│   └── README.md
├── Du Bois challenge plate 25/
│   ├── README.md
│   ├── camcorder_code.R
│   ├── du bois script.R
│   └── du bois_math.ggb
├── Essential R tools for regression modeling/
│   ├── README.md
│   └── broom.R
├── Gamma distribution/
│   └── README.md
├── Gamma distribution in R/
│   ├── README.md
│   └── Script - the gamma distribution in R.R
├── Getting started with R/
│   ├── README.md
│   └── amy.csv
├── Getting started with simple linear regression/
│   └── README.md
├── Git branches and merges/
│   ├── README.md
│   ├── pivot longer.R
│   └── pivot wider.R
├── Git setup/
│   ├── README.md
│   └── git for R users.R
├── Goodness of fit testing example/
│   ├── README.md
│   └── Script - goodness of fit example.R
├── Graphing functions/
│   ├── README.md
│   └── script - graphing functions.R
├── How to add annotations/
│   ├── README.md
│   └── Script - annotate.R
├── How to add color to R ggplots/
│   ├── README.md
│   └── script - how to add color to R ggplots.R
├── How to create an other category/
│   ├── README.md
│   ├── lumping variables.R
│   └── quitting.csv
├── How to make a pride flag/
│   ├── README.md
│   └── script - pride flag.R
├── How to purrr/
│   ├── README.md
│   └── script - purrr.R
├── How to put a project onto GitHub/
│   ├── README.md
│   └── github setup.R
├── How to show a ggplot to AI/
│   ├── README.md
│   └── script - ggplot with AI.R
├── Hypothesis testing in R/
│   ├── README.md
│   └── Script - hypothesis testing in R.R
├── If-else statements in R/
│   ├── README.md
│   ├── Script - ifelse.R
│   └── plant_updates.csv
├── Imputing missing bikeshare data/
│   ├── README.md
│   └── bikeshare missing data.R
├── Integrate AI with GitHub Copilot/
│   ├── README.md
│   ├── scooby.xlsx
│   └── script - integrating AI.R
├── Latex for R users/
│   ├── LaTeX for R users.qmd
│   └── README.md
├── Learn R in 39 minutes/
│   ├── README.md
│   ├── Scooby.xlsx
│   └── script - R in 39.R
├── Linear modeling using categorical variables/
│   ├── README.md
│   └── Script - parallel slopes models.R
├── Locating files with here()/
│   ├── README.md
│   ├── Scooby.xlsx
│   └── Script - here.R
├── Log-normal/
│   └── README.md
├── Log-normal in R/
│   ├── README.md
│   └── script - lognormal in R.R
├── Logistic regression example/
│   ├── README.md
│   └── logistic regression in R example.R
├── Logistic regression in R/
│   ├── README.md
│   ├── admissions.csv
│   └── script - logistic regression in R.R
├── Maximum likelihood example/
│   └── README.md
├── Multiple linear regression in R/
│   ├── README.md
│   └── Script - multiple regression in R.R
├── Multiple linear regression with interaction in R/
│   ├── README.md
│   └── Script - multiple linear regression with interaction.R
├── Multiple regression in R - example/
│   ├── README.md
│   ├── Script - multiple regression in R - example.R
│   └── parenthood.Rdata
├── Mutating data frames with case_when/
│   ├── README.md
│   ├── Script - case_when.R
│   └── gradebook.csv
├── Nested data frames and multiple models/
│   ├── README.md
│   └── Script - multiple models.R
├── Normal distribution in R/
│   ├── README.md
│   └── Script - normal distribution in R.R
├── Not-so-simple linear regression/
│   ├── README.md
│   └── simple linear regression.R
├── Organizing bar charts by frequency/
│   ├── README.md
│   └── Script - organizing bar charts by frequency.R
├── Overfitting in machine learning/
│   ├── README.md
│   └── overfitting demonstration.R
├── Percentiles in R/
│   ├── README.md
│   └── script - percentiles.R
├── Percentiles of continuous distributions/
│   └── README.md
├── Pie charts with R/
│   ├── README.md
│   └── pie charts.R
├── Poisson regression/
│   ├── README.md
│   └── websites.xlsx
├── Poisson regression in R/
│   ├── README.md
│   └── script - poisson in R.R
├── Prediction intervals for linear models/
│   ├── README.md
│   └── Script - prediction intervals.R
├── R Markdown/
│   ├── R Markdown practice.Rmd
│   ├── R-Markdown-practice.html
│   └── README.md
├── README.md
├── Regression analysis - backward selection/
│   ├── README.md
│   ├── Slides - bss.R
│   └── performance.csv
├── Repositioning ggplot legends/
│   ├── README.md
│   └── Script - repositioning ggplot legends.R
├── Return of the starwars data set/
│   ├── README.md
│   └── script - starwars.R
├── Scatterplots and regression lines in R/
│   ├── README.md
│   └── Script - scatterplots and regression lines.R
├── Sensitivity, specificity, precision, recall/
│   └── README.md
├── Simple linear regression with R (intro)/
│   └── README.md
├── Simpson's paradox/
│   ├── README.md
│   ├── batting.csv
│   └── script - simpsons paradox.R
├── Splitting columns in R with separate()/
│   ├── README.md
│   └── script - splitting columns with separate.R
├── Splitting data frames with slice()/
│   ├── README.md
│   └── Script - splitting data sets.R
├── Statistical power and sample size/
│   └── README.md
├── Teaching an AI to webscrape/
│   ├── README.md
│   └── ellmer tools.R
├── The poisson distribution/
│   └── README.md
├── Tidy data/
│   └── README.md
├── Tidy tuesday analysis - Ravelry yarn/
│   ├── README.md
│   └── yarn script.R
├── Tidying data with pivot_longer/
│   ├── 03 - Body Temperatures.xlsx
│   ├── README.md
│   └── Script - pivot_longer.R
├── Tidying data with pivot_wider/
│   ├── FQA.csv
│   ├── README.md
│   └── Script - pivot_wider.R
├── Type I and type II errors/
│   └── README.md
├── Understand ANOVA in 8 minutes/
│   └── README.md
├── Understanding R functions/
│   ├── README.md
│   └── script - undedrstanding R functions.R
├── Understanding geom_smooth/
│   ├── README.md
│   └── script - geom_smooth.R
├── Understanding the chi-squared distribution/
│   └── README.md
├── Uniform distribution/
│   └── README.md
├── Using Quarto with R and Python/
│   ├── Quarto demo.qmd
│   └── README.md
├── What are order statistics?/
│   └── README.md
├── What is Anscombe's quartet?/
│   ├── README.md
│   └── Script - Anscombe.R
├── What is quarto?/
│   ├── README.md
│   ├── erykah.xlsx
│   └── what is quarto.qmd
├── What is the central limit theorem?/
│   └── README.md
├── Working with lists in R/
│   ├── README.md
│   └── Script - lists in R.R
├── Write your own R functions/
│   ├── README.md
│   └── Script - functions.R
├── Writing prompts using interpolate()/
│   ├── README.md
│   └── interpolate.R
└── youtube.Rproj