Table 1 | Table 2 | Table 3

The all_drugs dataset | Buprenorphine Details | Alcohol | The asi dataset | The demographics dataset | The detox dataset | The everybody dataset | The fagerstrom dataset | The first_survey dataset | The pain dataset | The psychiatric dataset | The randomization dataset | The rbs dataset | The rbs_iv dataset | The screening_date dataset | The sex dataset | The tlfb dataset | The treatment dataset | The uds dataset

Introduction | Getting Started | The R Medicine Template | Customizing the Template | Sharing Your Work | Saving Slides into a Package

The Problem | The Solution | Drop a single label | Drop multiple labels | Use inside a mutate | Drop all dataset variable labels

The Problem | The Solution | Extra option: display_redacted | What is the example data?

The Problem | The Solution

Loading REDCap Data into R with an API request | Getting an API Token | Protecting Your API Tokens | NEVER DO THIS! | Better Options

The Problem | Aside: Loading REDCap Data into R | The Solution | Data Loaded with import_instruments() | Data Exported with "Data Exports, Reports and Stats" in REDCap

The Problem | Aside: Loading REDCap Data into R | The Solution

The Problem | Aside: Loading REDCap Data into R | The Solution

The Problem | Aside: Loading REDCap Data into R | Make Analysis Data | The Solution | Default Lettering | Custom Lettering

Introduction | How do I get RMarkdown and rUM? (Add a "quart o' rUM"!) | Ordering rUM from the Menu | Add rUM into an existing folder/directory that does not have an RStudio project. | After your rUM has been served | rUM infused Markdown headers | What are the headers | html2 with rUM | html2 Details with rUM | pdf2 showing LaTeX with rUM | bookdown_site with rUM | Session

Introduction | Getting Started

Introduction | rUM on Posit.Cloud | Session

Introduction | Getting Started | Conclusion

Introduction | How do I get quarto and rUM? (Add a "quart o' rUM"!) | Ordering rUM from the Menu | Add rUM into an existing folder/directory that does not have an RStudio project. | What is in the project? (What is served with your rUM?) | Session

Introduction | Using Code Templates in RStudio

Introduction | How do I make a package project? | Can I write my vignette with Quarto?

Introduction | Simpler Tables

Introduction | Getting Started | What Does custom.scss Contain? | Customizing Styles | Creating Additional Style Sheets | Handling Different YAML Structures | Why Use Multiple Style Sheets? | Conclusion

Fix dea_brands | Fix DEA category and class | The DEA street name file has:

Mark names that will be diffcult to parse | Difficult synonyms | Easy synonyms | bind the 'easy' and 'difficult' synonym datasets to create the final dataset

DEA | Web Scrape | Fact Sheets | Drug Brands | PDFs | Slang | Controlled Substances | DEA Summary | No Slang | IQVIA | drug_stop_words.rda

Data: drug_df | parse() | lookup_* | lookup() | compress_lookup() | lookup_syn()

Scrape No Slang Data | Finding Drug Names

Write a function to get the name, category and path of a drug