New Tip from the RCS Stats Team

May 17, 2019

This month's tip is by our Senior Statistician, Xiang Ao: 

Stata’s margins command has been a powerful tool for many economists. It can calculate predicted means as well as predicted marginal effects. Sometimes we’d like to compare those marginal effects. People use margins and marginsplot to generate marginal effects; then draw conclusions on whether there is a difference between marginal effects, based on whether the confidence intervals overlap or not. However, that can actually be wrong. In this post, I’d like to introduce a way to...

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New Software on the Compute Grid

May 17, 2019

We are excited to annnounce that we are in the process of installing some additional software on the grid to make the environment more research-friendly. This will include: 

  • PDF viewers, such as xPDF and Evince 
  • GitKraken, a Git GUI for version control
  • Atom, a lightweight, full-featured text editor

If you have suggestions/requests for other types of software, please send us an email at research@hbs....

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Compute Grid 2.5 Info

March 13, 2019

Based on both research computing trends and recommendations from the HBS research computing environment assessment, RCS in partnership with HBS launched the Grid 2.5 last December. This new compute grid provides a number of updates and enhancements that improve compute capacity with fewer restrictions, increased work safeguards, and both GUI and command-line programs to increase research capabilities for programming, statistics, and research data management.

How could you benefit from using the compute grid?

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New Tips from the RCS Stats Team

December 7, 2018

We are often asked about how to calculate marginal effects in R, especially from Stata users who use Stata's margins and marginsplot commands after regression models. These two packages in R have similar functions to Stata's margins and marginsplot commands, which are used to calculate marginal effects after a regression model and graph them: 



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New Tip from the RCS Data Team

December 7, 2018

Natural Language Processing (NLP) assists computers with processing and understanding natural human language, such as speeches, tweets, and newspaper articles. NLP can range from counting the number of times a word appears in text to analyses that assess attitudes (e.g., positive, negative). NLP can be conducted on a variety of platforms, including the robust NLTK package in Python and several libraries in R.

For an introduction and hands-on experience using the NLTK in Python, DataCamp provides a free module as part of their NLP fundamentals course:...

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Update to R on Grid 2.5

November 16, 2018

Thanks again for being an early adopter of the new compute grid. As we’re about to open officially on Monday, we would like to take this opportunity to update the central R / RStudio installation for a number of reasons. We would do this work early in the day on Monday, and it would upgrade R to 3.5.1, from 3.4.2. (Note that this update would require an update/reinstall of any R packages that had been compiled.)


RCS Staff