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tidytuesday

Repo for initial setup of the #tidytuesday visualization project

tidyverse

Easily install and load packages from the tidyverse

tidyverse_talk

Why and how you should use tidyverse tools

tie

Multiple output version of dplyr::summarise

timescaledb

An open-source time-series database optimized for fast ingest and complex queries. Engineered up from PostgreSQL, packaged as an extension.

timeseries

timetk

A toolkit for working with time series in R

timevis

Create interactive timeline visualizations in R

totalcensus

Extract census data from summary files with R

trump

instantly segfault your R session

tubeplayr

play youtube by R

tufte

Tufte Styles for R Markdown Documents

tutorials

Miscellaneous short guides on using the command line, git, Python, etc. (from the perspective of an R-user)

two-bookdowns-example

Example of how to create two bookdowns from one repo (and integrate it with Travis!)

user2018

Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"

usethis

Set up commonly used 📦 components

v8

Embedded JavaScript Engine for R

vespa

Vespa - the open big data serving engine

vg_sales_analysis_forecasting

Shiny App to analyze and forecast Video Game Sales

visnetwork

R package, using vis.js library for network visualization

webinars

Code and slides for RStudio webinars

wesanderson

A Wes Anderson color palette for R

wiki

The Ethereum Wiki

wilsummit

wired

Wired elements in Shiny

wishlist-for-r

Features and tweaks to R that I and others would love to see - feel free to add yours!

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xml2

Bindings to libxml2

xplain

This package allows to provide live interpretations and explanations of statistical functions in R. These interpretations and explanations are shown when the explained function is called by the user. They can interact with the values of the explained function's actual results to offer relevant, meaningful insights. The xplain interpretations and explanations are based on an easy-to-use XML format that allows to include R code to interact with the returns of the explained function.

xrpython

XR-style Interface to Python (from "Extending R")