Also, Statamarkdown does not automatically remember what code you ran from one chunk to the next. There is a nice tutorial on how to use it here.Īt the time I am writing this post, Statamarkdown is good for producing documents but does not work for running code interactively in a notebook. RMarkdown file in the usual way to create a document like an. With Doug Hemken’s Statamarkdown, you can knit your. For this, you can open your Markdown document in R and use the Statamarkdown package. The only shortcoming here is that you cannot easily export the code along with the text to a shareable HTML or PDF document. Once you have everything set up, you will be able to intersperse your code with text, run the code interactively, and preview the resulting document like this: You install Atom packages in Atom by hitting ctrl + shift + p in Windows/Linux or cmd + shift + p in macOS and typing install packages in the search field. For the stata_kernel, follow the instructions that Kyle Barron provides. In case you are not familiar with Atom, each Jupyter kernel that you use is going to be installed in a slightly different way. I also installed Markdown Preview Plus (MPP), which provides a live updated preview of your document. stata_kernel is the Jupyter kernel for Stata that allows the code to run interactively, Language Stata provides Stata lanugage support, and Language Markdown provides support for Markdown (including R Markdown). To create an interactive document with Stata, you need to install Kyle Barron’s stata_kernel, the Language Stata package and the Language Markdown package. You can even run code for multiple kernels/languages in the same document. The best thing about Atom is that you can use the Hydrogen package to run code interactively. You can edit almost any language or document type, the color schemes are attractive and the keyboard shortcuts really help with efficiency. Here are some of the options I came across. So I started a quest to figure out how I could best integrate Stata with Markdown in other environments. But I find that I still need Stata for certain kinds of analysis, and for some projects there is enough inertia that it makes sense to just keep doing them in Stata.Ī little while back, though, I found I just couldn’t stand working in Stata’s. I also find it really helpful from a workflow standpoint to be able to run code snippets in the text editor and to preview the document that I am writing in real time like you can in an R Notebook.Īt one point, I thought my solution would just abandon Stata entirely for R. Frequently when I am working in Stata, I find myself really missing the key features of R Markdown, like the ability to intersperse code with text and share my notes with other people in an attractive dynamic HTML or PDF document.
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