Data Analysis using Stata: Workshop, 10/8/14

Update: A half-dozen students joined me for a whirlwind hour of data analysis using Stata on Wednesday. Through hands-on exercises, we worked through some basic analyses and some common errors and other roadblocks. If you missed the workshop, the materials are linked below.

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R Workshop on 10/1/2014

I will be leading a workshop on R tomorrow from 4:30 to 5:30 pm in ETC 205.

The workshop is designed to be useful for users with all levels of experience. The workshop will include a basic overview of R and RStudio, but will primarily focus on showing students how to make interactive graphs and maps using the googleVis package in R. Everyone in attendance will produce a .html file with a series of interactive data displays.

You can access the slide deck, which was built entirely in R, for the presentation here.

See you tomorrow afternoon!

Data Visualizations and Presentations in R Markdown

Last Saturday I gave a presentation at the National Association for College Admission Counseling Conference titled “Matching the Under-Matched Student: Small Colleges and Big Data Offer Strategies for Success.” The presentation used a statistical analysis and case studies from two small liberal arts colleges to identify ways in which colleges may respond to the finding of Hoxby and Avery (2012) that the vast majority of very high-achieving students who are low-income do not apply to any selective college or university.

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Workshop: Introduction to MATLAB

As part of our spring Quantitative Research Skills Workshop Series, I held an introduction workshop for MATLAB this afternoon. The presentation was aimed at a completely näive audience — we covered some background of the program and its applications, walked through the interface, did some basic calculations, and heard from a Psychology faculty member who uses MATLAB on a regular basis as part of his neuroscience research. Some useful links, below. Continue reading “Workshop: Introduction to MATLAB”

Workshop: Introduction to R

Prepping for Paideia this year, I approached visiting professor Albert Kim about providing a quick one-hour introduction to R. R is the chosen platform for our introductory statistics course and is used by folks across all the sciences (social, physical, natural) across campus. Speaking with faculty and students over the past two years, I regularly hear requests for more R support.

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