Getting Standardized Coefficients Right (stdBeta)

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.

stdParm.ado by post-estimation transformation

stdParm.sthlp help file

Some math for post-estimation centering and standardizing with notes

From within Stata, type

`search stdBeta`

and follow the links.

- stdBeta.ado by transforming the data
- stdBeta.sthlp help file

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.

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.

`stmd`

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

- Installation and Basic Use
- Writing Dynamic Code Blocks
- Code Block Options
- Including Graphics
- Including Mathematics
- Report Templates

The rest is Markdown.

Official Stata includes a Markdown interpreter and commands to execute dynamic documents. Dig into the details to go beyond `stmd`

.

`Statamarkdown`

packageWriting Stata Documentation Using R Markdown (Windows)

Writing Stata Documentation Using R Markdown (linux and OS X)

Installing the Statamarkdown package

Linking Stata Code Blocks in Statamarkdown

Cleaning up Source or Output in Statamarkdown

Merging coefficients of variation into a data set

Bootstrap mean and sd from an empirical distribution

Jackknife a regression coefficient

Centiles, posting scalar results