index.qmd

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engine: knitr
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Last modified: `r Sys.Date()`

# Preface {.unnumbered}

These notes are split into four primary sections:

- [Chapter 1: The Basics of Stata](01-the-basics-of-stata.html) - Interacting
  with Stata.
- [Chapter 2: Working with Data Sets](02-working-with-data-sets.html) -
  Importing, opening, and saving data sets.
- [Chapter 3: Data Management](03-data-management.html) - The basics of
  maintaining and exploring a data set.
- [Chapter 4: Data Manipulation](04-data-manipulation.html) - Creating and
  modifying variables and other ways of manipulating your data.

These sections will generally be presented in sequence. The discussion will
alternate between theory and practice. The format will alternate between lecture
and exercises. Please ask questions as soon as they arise in your mind. Please
provide feedback or voice concerns.

There are two additional sections:

- [Chapter 5: Programming & Advanced Topics](05-programming.html) - Topics for
  users who wish to move beyond the basics.
- [Appendix](06-appendix.html) - Houses the exercise solutions.

## Creation of this document {.unnumbered}

These notes are published using [Quarto](https://quarto.org). The Stata code is
first rendered using a Stata [dynamic
document](https://www.stata.com/manuals/rptdynamicdocumentsintro.pdf). The
source code for these notes can be found at
<https://github.com/CSCAR/workshop-stata-intro> for the curious.

All images should link to full-size versions to see detail if needed.

Dark mode can be toggled on via the switch in the top left corner. Images are
color-reversed in dark mode to avoid brightness; mouse over them (or click on
mobile) to display originals.

## Contact information {.unnumbered}

### CSCAR {.unnumbered}

<http://cscar.research.umich.edu/>

CSCAR is available for free consultations with PhD statisticians (email
deskpeople@umich.edu to request a consultation).

CSCAR also has GSRAs available for more immediate help. Walk-ins to our office
in Rackham are welcomed Monday-Friday 9am to 5pm (Closed Tuesdays 12-1pm).
Alternatively, on our website, you can self-schedule into an hour consultation
with the graduate students, which can be either remote or in-person (these are
usually available same-day or next-day).

CSCAR operates a email for help with statistical questions, feel free to send
concise questions to stats-consulting@umich.edu.

The current contact for questions about the notes: Josh Errickson
(jerrick@umich.edu).


## Acknowledgments {.unnumbered}

These notes have evolved over the years thanks to many CSCAR statisticians,
including Josh Errickson, Giselle Kolenic, Brady West, Heidi Reichert, and
Lingling Zhang.

This material was created for use in workshops and short courses presented by
faculty and staff from the Consulting for Statistics, Computing & Analytics
Research (CSCAR) at the University of Michigan. No part of this material may be
used for other purposes, copied, changed, or sold.