Programming

  • Tidy eval: programming with dplyr, tidyr, and ggplot2 – Hadley Wickham20:06

    Tidy eval: programming with dplyr, tidyr, and ggplot2 – Hadley Wickham

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  • An assignment operator to unpack vectors and lists – Nathan Teetor18:22

    An assignment operator to unpack vectors and lists – Nathan Teetor

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  • Debugging - Jonathan McPherson29:59

    Debugging - Jonathan McPherson

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  • Debugging techniques in RStudio – Amanda Gadrow22:56

    Debugging techniques in RStudio – Amanda Gadrow

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  • Data rectangling – Jenny Bryan21:30

    Data rectangling – Jenny Bryan

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  • Tidy evaluation in ggplot2

    Tidy evaluation in ggplot2

    h2 code { font-size: 1em; } Tidy evaluation One of the biggest changes in ggplot2 3.0.0 is support for tidy evaluation, making it more programmable, and more consistent with the rest of...

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  • Debugging techniques in RStudio44:32

    Debugging techniques in RStudio

    Fortunately, there are excellent tools built into R and RStudio that can make debugging easier.

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  • rlang 0.2.0 - many improvements to tidy evaluation. rlang is a toolbox for working with base types, core R features

    rlang 0.2.0 - many improvements to tidy evaluation. rlang is a toolbox for working with base types, core R features

    We are happy to announce a new version of rlang that features many improvements to tidy evaluation: The quirks in the quasiquotation syntax have been much reduced. Quosures gained a much improved...

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  • rlang 0.2.0

    We are happy to announce a new version of rlang that features many improvements to tidy evaluation: The quirks in the quasiquotation syntax have been much reduced. Quosures gained a much improved...

    Click Here
  • Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.55:45

    Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.

    Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables tidyverse users to write reusable functions and pipeline wrappers.

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  • Using list-cols in your dataframe - Jenny Bryan18:55

    Using list-cols in your dataframe - Jenny Bryan

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  • Happy Git and Gihub for the useR Tutorial -  Jenny Bryan2:10:28

    Happy Git and Gihub for the useR Tutorial - Jenny Bryan

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  • Introduction to Debugging in R - 11:2111:21

    Introduction to Debugging in R - 11:21

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  • Programming - Part 2 (Debugging code in RStudio)31:18

    Programming - Part 2 (Debugging code in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 2 of 6 is about debugging code in RStudio.

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