Week 6: R Markdown

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# Week 6: R Markdown
## PUBPOL 750 Data Analysis for Public Policy I
### Justin Savoie
### MPP-DS McMaster
### 2022-06-17

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# R Markdown
## An authoring framework for data science

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# R Markdown

- for communicating to decision makers
- for collaborating with other data scientists
- as an environment in which to do data science

- "Here's some data, could you run cross-tabs, run these six models, export all this in pdf format. I'd need this tomorrow / no need for clean formatting."
- R Markdown is also great for slide decks (this deck), books (R4DS) and more (dissertations, reports, etc.)

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# Code chunks

To run code inside an R Markdown document, type the chunk delimiters

```` ```{r} ```` and ```` ``` ````.

Chunks can be given an optional name: ```` ```{r by-name} ````.

# Chunk options

- `eval=FALSE` prevents code from being evaluated
- `include = FALSE` runs the code, but doesn’t show the code or results in the final document. 
- `echo = FALSE` prevents code, but not the results from appearing in the finished file.
- `message = FALSE` or `warning = FALSE`

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# Example with 2015 CES data in R Markdown