---
title: "Stata Topics"
author: "Doug Hemken"
date: "March 2022"
output: 
  html_document:
    includes:
    self_contained: no
    theme: null
    highlight: null
    toc: yes
---

[[Workshops index](../index.html)]

# Recentering, Rescaling, Standardizing Coefficients
[Getting Standardized Coefficients Right (stdBeta)](stdBeta/docs/Getting%20Standardized%20Coefficients%20Right.pdf)

Download the following packages to your own ado location 
(type `net query` in the command box to see where this is). 

From within Stata, use 
```
net from https://www.ssc.wisc.edu/~hemken/Stataworkshops
```
and follow the links.

## Post-estimation ado
<p><a href="stdParm/stdParm.ado">stdParm.ado</a> by post-estimation transformation</p>

<p><a href="stdParm/stdParm.sthlp">stdParm.sthlp</a> help file</p>
<p><a href="stdParm/SSCC Post-estimation Parameter Re-centering and Rescaling.pdf">Some math</a> for post-estimation centering
	and standardizing 
	<a href="http://www.stata.com/meeting/columbus15/abstracts/materials/columbus15_hemken.pdf">with notes</a></p>
<p>On the <a href="stdParm/Variable-wise and Term-wise Recentering.pdf">equality of variable-wise and term-wise recentering.</a></p>

## Re-estimation ado
From within Stata, type
```
search stdBeta
```

and follow the links.

- [stdBeta.ado](stdBeta/stdBeta.ado) by transforming the data
- [stdBeta.sthlp](stdBeta/stdBeta.sthlp) help file

# Stata, Markdown, and Dynamic Documents

## Stata and R Markdown: the `Statamarkdown` package
[Writing Stata Documentation Using R Markdown](Statamarkdown/stata-and-r-markdown.html)

## Easy Stata Markdown: the `stmd` command
Beginning with Stata 15, you can write dynamic documents
using Markdown, wholly within Stata.  As of Stata 16,
you can produce HTML, PDF, or Word documents this way.

For older versions of Stata you can write
dynamic documents which include Stata code and output from the
R or Rstudio interface (see above).

In the following material, I try
to explain some of your options, including some
utility programs which ease the process
of going from dynamic Markdown to final document.

The `stmd` command is intended to make dynamic Markdown
documents easy to write, in the style of most other
programming languages.

- [Installation and Basic Use](stmd/Usage/stmdusage.html)
- [Writing Dynamic Code Blocks](stmd/Usage/stmdcodeblocks.html)
- [Code Block Options](stmd/Usage/stmdcodeoptions.html)
- [Including Graphics](stmd/Usage/graphing.html)
- [Including Mathematics](stmd/Usage/markdownmath.html)
- [Report Templates](stmd/Usage/Repeated%20Reports.html)

The rest is Markdown.

## Stata\'s Dynamic Document Infrastructure
Official Stata includes a Markdown interpreter and
commands to execute dynamic documents.  Dig into
the details to go beyond `stmd`.

[Stata\'s Markdown - the Flexmark specification](stmd/Markdown/flexmark.html)


# Stata Graphics

## Stata Graph Concepts

[Introduction to the Graph Command](Grammar of Graphics/GraphCommand.html)

[*The Grammar of Graphics* applied to Stata](Grammar of Graphics/StataGraphicsGrammar.html)

## Reconstructing Graphs - Tour by Example

[538.com Poll trends](Grammar of Graphics/Thinking about Graphs.pdf)

[NY Times ISIS attacks](Grammar of Graphics/ReconstructNYT.html)

## Stata Graph Detail
[Data sources Stata Graphs](Grammar of Graphics/GraphDataSources.html)

<p><a href="Grammar of Graphics/GraphingObjects.html">
Graphical objects in Stata graphics</a></p>
<p><a href="Grammar of Graphics/Graphical Objects/graphical objects.do">
Graphical objects.do</a></p>
<p><a href="Grammar of Graphics/Scales/Scales categorical and continous.do">
Level of Measurment (Scales)</a></p>

### Coordinates
[Coordinates - range](Grammar of Graphics/Coordinates/coordinates range.do)

[Coordinates - order](Grammar of Graphics/Coordinates/coordinates order.do)

[Coordinates - linear/log](Grammar of Graphics/Coordinates/coordinates logged.do)

[Coordinates - polar](Grammar of Graphics/Coordinates/polar winters.do)

<p><a href="Grammar of Graphics/Text/Annotation.do">
Text Annotations</a></p>

# Structural Equation Modeling with Stata
<p><a href="SEM/Covmodel.html">Covariances model</a></p>
<p><a href="SEM/ElementaryPaths.html">Elementary Path Models</a></p>
<p><a href="SEM/ElementaryPathsBuilder.html">Using the SEM Builder</a></p>
<p><a href="SEM/CFA.html">Confirmatory Factor Analysis</a></p>
<p><a href="SEM/CFAInvariant.html">Measurement Invariance (part)</a></p>
<p><a href="SEM/CFAinvariance.do">Measurement Invariance (do file)</a></p>
<p><a href="SEM/CFAgroups.do">Group Analysis</a></p>
[Reshaping Multiple Equation Tables](SEM/multieq_tables.html)

# Programming Problems
<p><a href="coeffvar.do">Merging coefficients of variation into a data set</a></p>

<h2 id="Postfile">Postfile problems</h2>

<p> <a href="Postfiles/postfile mean sd.do">Bootstrap mean and sd from an empirical distribution </a></p>
<p> <a href="Postfiles/jackknife postfile.do">Jackknife a regression coefficient </a></p>
<p> <a href="Postfiles/postfile scalar results.do">Centiles, posting scalar results </a></p>
<p> <a href="Postfiles/postfile p values and significance indicator.do">P values and significance from multiple tests </a></p>
<p> <a href="Postfiles/postfile p values.do">and just p values  </a></p>

# Introductory workshop exercises

<p><a href="nlsexercise.do">National Longitudinal Survey of Women exercises</a></p>
<p><a href="iceexercise.do">Mendota Ice exercises</a></p>