rt2_dc_2019's Introduction

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Research Transparency & Reproducibility Training (RT2)

Materials for workshop on research transparency, Washington 2019

UC Berkeley (Berkeley Initative for Transparency in the Social Sciences)

Installation Instructions

The workshop will introduce you to a tool that can help you make your workflow more reproducible: version control (Git/GitHub). You are required to install the following software programs either on your personal laptop before coming to the workshop for the hands-on exercises. (please remember to bring the laptop too!)

1. Version Control with Git and the Github Desktop app

Version control is a powerful way to carefully track revisions to your documents as well as to manage collaboration. Git and Github Desktop are packaged together here. Git is the command line tool, and Github Desktop is a GUI version of the same tool.

There are actually a whole bunch of GUI apps that can act as front ends, so you might find later that you prefer another, but we'll stick with Github Desktop for the demo.

Optional: Specifics for Specifics Platforms

Note that Github Desktop works on Mac and Windows. If you're a Linux user, you might try one of these. Also if you're a Windows user, the command line tool that comes with Github Desktop is not the greatest, so you might want to download this alternative. If you've never used the command line before or any of this is confusing, don't worry about it and we'll try to clear it up at the workshop.

2. A good text editor

Writing good code is facilitated by a good text editor. You can get away without one because you almost certainly already have a program on your computer that can save simple ASCII text files (Notepad for Windows, or TextEdit for Mac--but change the default from Rich Text to Plain Text) but modern text editors do syntax highlighting, auto-complete, and a bunch of other cool stuff for you. I suggest Atom. You can extend its functionality by going to settings and adding packages (one to render Markdown as PDF might be especially helpful.)

3. Install R and RStudio

R
RStudio

If you have downloaded R or RStudio, make sure that your version is up to date.

Open RStudio and click on the following File-> New File -> RMarkdown..., when prompted to install additional packages, click yes.

4. Install LaTeX

If you could not install LaTeX previously, run the following 2 lines of code in the RStudio console:

install.packages(c("tinytex", "rmarkdown"))
tinytex::install_tinytex()

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rt2_dc_2019's Issues

Stata Markdown: add appendix with basic formatting resources

Stata Markdown: set width of images

Figure Splits table in two

qui reg price headroom
est sto reg1
qui regress price headroom trunk
est sto reg2
qui regress price headroom trunk foreign
est sto reg3
esttab reg1 reg2 reg3, ///
replace ///
label se ///
nomtitles

Stata Markdown: add recap slide at the end

Unable to load figure in compiled document

Hi, I am using the following code within a fence in a Stata markdown template:

	tw sc price mpg 
	graph export "$path/twsc.png", replace

However, when I use markdown in my file, I am unable to load the figure (although the figure is created and exported by Stata)

![Correlation]("$path/twsc.png"){width="60%"}

Thank you for helping out!

PS: I am using Stata 15/MP on Windows 10 (and I run Stata using StataEditor package in SublimeText)

Estout tables truncated

Using Mac and exported to html. The output estout table that has 6 columns was cut in the middle of the 4rth column. Not sure how to change the width of the page.

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