Jenny Bryan

Jenny is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.

  • Lazy evaluation - Jenny Bryan20:24

    Lazy evaluation - Jenny Bryan

    The "tidy eval" framework is implemented in the rlang package and is rolling out in packages across the tidyverse and beyond. There is a lively conversation these days, as people come to terms with...

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  • Help me help you. Creating reproducible examples - Jenny Bryan52:29

    Help me help you. Creating reproducible examples - Jenny Bryan

    What is a reprex? It’s a reproducible example. Making a great reprex is both an art and a science and this webinar will cover both aspects.

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  • Thinking inside the box: you can do that inside a data frame?!43:40

    Thinking inside the box: you can do that inside a data frame?!

    The data frame is a crucial data structure in R and, especially, in the tidyverse. Working on a column or a variable is a very natural operation, which is great. But what about row-oriented work?

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  • What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format52:22

    What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format

    What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format

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