HumdrumR
A toolkit for analyzing data encoded in the humdrum format.
Install / Use
/learn @Computational-Cognitive-Musicology-Lab/HumdrumRREADME
HumdrumR
HumdrumR is an R library for analyzing musicological data encoded in the humdrum data format, developed by Nat Condit-Schultz and Claire Arthur in the Computational and Cognitive Musicology lab at Georgia Tech.
The most up to date info on humdrumR, including installation instructions and documentation, can be found on our website. Feel free to reach out to us if you have an questions or problems!
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