18 min
A Conversation with Yihui Xie at useR! 2014 DataScience.LA Podcast
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- Technology
Yihui Xie intended to make it easier to do his homework, but instead found himself tackling one of the greatest problems in modern science: reproducibility of results. Through his work on the knitR package, he has assembled a toolchain which allows the user to produce beautiful, ready-to-distribute documents which contain a whole, self-supporting, and reproducible analysis. In this interview, Yihui discusses how he came to the R programming language and how he set about building knitR. He also mentions the great momentum and energy of the R community in China, and what he’s currently focused on at RStudio.
Yihui Xie intended to make it easier to do his homework, but instead found himself tackling one of the greatest problems in modern science: reproducibility of results. Through his work on the knitR package, he has assembled a toolchain which allows the user to produce beautiful, ready-to-distribute documents which contain a whole, self-supporting, and reproducible analysis. In this interview, Yihui discusses how he came to the R programming language and how he set about building knitR. He also mentions the great momentum and energy of the R community in China, and what he’s currently focused on at RStudio.
18 min