Jenny Bryan

Jenny is a software engineer on the tidyverse team. She is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. Jenny is known for smoothing the interfaces between R and spreadsheets, web APIs, and Git/GitHub. She’s been working in R/S for over 20 years and is a member of the R Foundation. She also serves in the leadership of rOpenSci and Forwards and is an adjunct professor at the University of British Columbia.

  • Object of type ‘closure’ is not subsettable - Jenny Bryan52:49

    Object of type ‘closure’ is not subsettable - Jenny Bryan

    Your first “object of type ‘closure’ is not subsettable” error message is a big milestone for an R user. Congratulations, if there was any lingering doubt, you now know that you are officially...

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  • 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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