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Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks
Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

5 handy options in R data.table’s fread

Not just a speedy way to import data into R, fread has useful options for importing subsets of data, setting data types for columns, running system commands, and more

The letter R as a wired alphabet light board against concentric circles of a halftone pattern.

R language rises with COVID-19 research

R language for statistical computing moves up in the Tiobe index of language popularity, while Rust and Kotlin also gain

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How to use color-matched parentheses in RStudio

See how color-coded parentheses, braces, and brackets look in the latest RStudio daily build.

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How to run R scripts as RStudio local background jobs

See how to run lengthy R scripts as background jobs so you can continue working in your current RStudio project.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to create tables in R with expandable rows

See how to use the reactable R package to make an interactive table with rows that expand when clicked

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How to create R tables with expandable rows

See how to use the reactable R package to make an interactive table with rows that expand when clicked.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to run R 4.0 in Docker — and 3 cool new R 4.0 features

See how to test drive R 4.0 in a Docker container, plus a look at three new R 4.0 features for color palettes and strings

A high-voltage letter R against the background of a vanishing-point halftone grid.

Major R language update brings big changes

R 4.0.0 brings numerous and significant changes to syntax, strings, reference counting, grid units, and more

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Dplyr across: First look at a new Tidyverse function

See how to use dplyr to run functions across multiple columns at once. You can even run more than one function in the same line of code

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Easier ggplot with the ggeasy R package

See easy-to-remember ways of customizing ggplot2 visualizations – plus the super-simple patchwork package to visualize plots side by side

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How to simplify ggplot2 with ggeasy

See some easier-to-remember ways of customizing R data visualizations – plus the super-simple patchwork package to visualize multiple plots side by side.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

R data.table symbols and operators you should know

Make your R data.table code more efficient and elegant with these special symbols and operators. Plus, learn about the new fcase() function

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6 R data.table symbols and operators you should know

Your R data.table code will be more efficient and elegant if you know some of the package’s special symbols and operators. Plus, learn about the new fcase() function.

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RStudio Conference 2020 videos you don’t want to miss

You can watch dozens of must-see RStudio Conference videos online. Don't know where to start? Let us help

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Add color to your ggplot2 text in R

See how to style the headlines and axis text in your ggplot graphs with the ggtext package for R

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How to add color to your ggplot2 text in R

See how to style your headlines, axis text, and more in your ggplot graphs with the R ggtext package. Download the data from Sharon's associated article:...

R programming

How to get RStudio Conference 2020 workshop materials free online

Topics include machine learning, geospatial analysis, time series, visualizations, interactive apps, and much more

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

RStudio restructures to focus on ‘public benefit’

The company behind open source R programming tools has restructured to better address the needs of users and the R community

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