R Language
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Run Python in R code
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Do more with R: Write your own RStudio addins
This RStudio addins tutorial walks you step by step through creating an extension for the RStudio IDE
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R tip: Write your own RStudio addins
This RStudio Addins tutorial shows step by step how to create an addin for the RStudio IDE
How to create color-coded calendars in R
Track your goals with color-coded calendars created with R packages ggplot2 and ggcal
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R tip: Creating color-coded calendars
See how well you’re achieving daily goals with a color-coded calendar made in R
Do more with R: RStudio addins and keyboard shortcuts
Speed up your R programming workflow with RStudio addins and customized keyboard shortcuts
Do more with R: Quick lookup tables using named vectors
Learn how named vectors give R developers an easy to use key-value pairs
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R tip: Quick lookup tables with named vectors
Learn an easy method to use key-value pairs in R
R tip: Keep your passwords and tokens secure with the keyring package
Saving tokens and passwords in an R environment variable means they’re stored in an unencrypted, clear text file. With the keyring package, your credentials are more secure
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R tip: Keep passwords and tokens secure with the keyring package
Learn how to store credentials in an encrypted, secure keyring within R
R tutorial: How to import data into R
In this book excerpt, learn how to import data into R from spreadsheets, HTML tables, and more
How to add sparklines to R tables
When you want to visualize results in each row—such as when each row of data is a trend over time—you can do that inside a new table column with mini inline graphs called sparklines
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R tip: Sparklines in HTML tables
Learn how to add sparklines to HTML tables in R with the DT and sparkline packages
Do more with R: Quick interactive HTML tables
See how to create an interactive table with one line of code (and the DT package). Plus, easy customizations
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R tip: Quick Interactive Tables
See how to create an interactive HTML table with one line of code. Plus, plenty of customizations
Do more with R: drag-and-drop ggplot
A new R package creates a simple graphical user interface for ggplot2—and it generates R code for the visualization you create
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R tip: Drag-and-drop ggplot
See how the new graphical user interface for ggplot2 works, thanks to the esquisse R package
Topped out? Swift, Go, and R vie for Tiobe Top 10
All three languages face limitations that could cap developer enthusiasm for the long term
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