RStudio Essentials

  • Programming - Part 1 (Writing code in RStudio)33:50

    Programming - Part 1 (Writing code in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 1 of 6 is about writing code in RStudio.

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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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  • Programming - Part 3 (Package writing in RStudio)37:10

    Programming - Part 3 (Package writing in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 3 of 6 is about writing packages in RStudio.

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  • Managing - Part 1 (Projects in RStudio)37:25

    Managing - Part 1 (Projects in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 4 of 6 is about managing projects in RStudio.

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  • Managing - Part 2 (Github and RStudio)47:03

    Managing - Part 2 (Github and RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 5 of 6 is about using Github in RStudio.

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  • Managing - Part 3 (Packrat and RStudio)37:48

    Managing - Part 3 (Packrat and RStudio)

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

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  • A new set of IDE features to help you and your team work better and faster together46:23

    A new set of IDE features to help you and your team work better and faster together

    RStudio Server Pro has a whole new set of features designed to help you and your team work better and faster together.

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  • A new extensibility point to the IDE: RStudio Add-ins37:24

    A new extensibility point to the IDE: RStudio Add-ins

    This powerful feature enables anyone who can write R code to customize RStudio for their own work.

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  • How to profile and optimize code using profvis, a new package for exploring profiling data.43:27

    How to profile and optimize code using profvis, a new package for exploring profiling data.

    How to profile and optimize code using profvis, a new package for exploring profiling data.

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  • Measure and report test coverage for R, C, C++ and Fortran code in R packages37:39

    Measure and report test coverage for R, C, C++ and Fortran code in R packages

    measure and report test coverage for R, C, C++ and Fortran code in R packages

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  • RcppParallel provides a complete toolkit for creating safe, portable, high-performance parallel algorithms48:40

    RcppParallel provides a complete toolkit for creating safe, portable, high-performance parallel algorithms

    RcppParallel provides a complete toolkit for creating safe, portable, high-performance parallel algorithms

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  • Part 1 - Easy ways to collect different types of data from the web with R41:49

    Part 1 - Easy ways to collect different types of data from the web with R

    Easy ways to collect different types of data from the web with R.

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  • Part 2 - Easy ways to collect different types of data from the web with R39:26

    Part 2 - Easy ways to collect different types of data from the web with R

    Easy ways to collect different types of data from the web with R.

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  • RStudio IDE Cheat Sheet

    RStudio IDE Cheat Sheet

    The RStudio IDE is the most popular integrated development environment for R.

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  • Shiny Cheat Sheet

    Shiny Cheat Sheet

    This cheat sheet provides a tour of the Shiny package and explains how to build and customize an interactive app.

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  • R Markdown 2.0 Cheat Sheet

    R Markdown 2.0 Cheat Sheet

    R Markdown is an authoring format that makes it easy to write reusable reports with R.

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  • Data Import Cheat Sheet

    Data Import Cheat Sheet

    The Data Import cheat sheet reminds you how to read in flat files with http://readr.tidyverse.org/, work with the results as tibbles, and reshape messy data with tidyr.

    View the PDF
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