Examples of Recursive Lists and Nested or Split Data Frames

Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, music collections, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.

Access the 'Gmail' 'RESTful' API

An interface to the 'Gmail' 'RESTful' API. Allows access to your 'Gmail' messages, threads, drafts and labels.

Prepare Reproducible Example Code via the Clipboard

Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as < https://stackoverflow.com> and < https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.

An Interface to Google's 'BigQuery' 'API'

Easily talk to Google's 'BigQuery' database from R.

Authoring Books and Technical Documents with R Markdown

Output formats and utilities for authoring books and technical documents with R Markdown.

Authenticate and Create Google APIs

Create R functions that interact with OAuth2 Google APIs < https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.

Data Analysis Using Regression and Multilevel/Hierarchical Models

Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.

D3 JavaScript Network Graphs from R

Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.

Bayesian Kernel Machine Regression

Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) .

Create Compact Hash Digests of R Objects

Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.