Jeroen Ooms

devtools

Tools to make an R developer's life easier

ggplot2

An implementation of the Grammar of Graphics in R

haven

Read SPSS, Stata and SAS files from R

lubridate

Make working with dates in R just that little bit easier

readr

Read flat files (csv, tsv, fwf) into R

readxl

Read excel files (.xls and .xlsx) into R

reticulate

R Interface to Python

rmarkdown

Dynamic Documents for R

tidymodels

Easily install and load the tidymodels packages

usethis

Set up commonly used components

pkgdown

Generate static html documentation for an R package

roxygen2

Generate R package documentation from inline R comments

rstudio

RStudio is an integrated development environment (IDE) for R

tidyverse

Easily install and load packages from the tidyverse

cli

Tools for making beautiful & useful command line interfaces

rvest

Simple web scraping for R

vroom

Fast reading of delimited files

odbc

Connect to ODBC databases (using the DBI interface)

gh

Minimalistic GitHub API client in R

testthat

An R to make testing

httr2

Make HTTP requests and process their responses. A modern reimagining of httr

shinytest2

rsconnect

Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more

fs

Provide cross platform file operations based on libuv

httpuv

HTTP and WebSocket server package for R

callr

Call R from R

httr

httr: a friendly http package for R

covr

Test coverage reports for R

actions

GitHub Actions for the R community

archive

R bindings to libarchive, supporting a large variety of archive formats

askpass

Password Entry for R, Git, and SSH

bit64

An R package with an S3 Class for Vectors of 64bit Integers

commonmark

High Performance CommonMark and Github Markdown Rendering in R

cpp11

cpp11 helps you to interact with R objects using C++ code

credentials

Tools for Managing SSH and Git Credentials

desc

Manipulate DESCRIPTION files

evaluate

A version of eval for R that returns more information about what happened

gert

Simple git client for R

hms

A simple class for storing time-of-day values

jose

Javascript Object Signing and Encryption for R

keyring

:closed_lock_with_key: Access the system credential store from R

later

Schedule an R function or formula to run after a specified period of time

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

markdown

The first generation of Markdown rendering for R (born in 2012), based on commonmark. Note that this package is markdown, not *rmarkdown*

pkgbuild

Find tools needed to build R packages

processx

Execute and Control Subprocesses from R

r-system-requirements

System requirements for R packages

ragg

Graphic Devices Based on AGG

remotes

Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

RMariaDB

An R interface to MariaDB

RMySQL

Legacy DBI interface for MySQL

RPostgres

A DBI-compliant interface to PostgreSQL

RSQLite

R interface for SQLite

sass

Sass compiler package for R

shinyapps-package-dependencies

Collection of bash scripts that install R package system dependencies

sodium

R bindings to libsodium

svglite

A lightweight svg graphics device for R

systemfonts

System Native Font Handling in R

vdiffr

Visual regression testing and graphical diffing with testthat

websocket

WebSocket client for R

xml2

Bindings to libxml2

zip

Platform independent zip compression via miniz

Jeroen Ooms | Monitoring health and impact of open-source projects | RStudio

At rOpenSci, we have come to realize that in order to help researchers get the most out of R, we need better tooling to monitor the quality, health, and impact of R packages. This applies both to our internal projects, as well as other packages in the R ecosystem. But what exactly makes a good R package? In this talk we discuss various aspects of open-source software that are not always immediately obvious, and that you may want to consider when depending on an R package. We identify several categories of indicators you could look for, ranging from the role in the dependency network, to expectations around maintenance and participation. Finally we introduce an ambitious new rOpenSci project called R-universe: an open platform, where we will experiment with showing metrics and other background information about packages, that may reveal something about the health and the impact of the project, and also facilitate discovery of other software. About Jeroen: Postdoc hacker for @ropensci at UC Berkeley

Jeroen Ooms

Jeroen Ooms | A preview of Rtools 4.0 | RStudio (2019)

Rtools is getting a major upgrade. In addition to the latest gcc, it now includes a full build system and package manager to build, install, and distribute external c/c++/fortran libraries needed by R packages. Thereby it bridges the long-standing gap between Windows and MacOS/Linux with respect to the availability of high quality, up-to-date system libraries. In this talk, we will show how to build and install system libraries with Rtools, and manage your Rtools build environment. It should be interesting both for Windows users as well as non-Windows package authors that are interested in reducing the pain of making things work on Windows. VIEW MATERIALS https://resources.rstudio.com/rstudio-conf-2019/a-preview-of-rtools-4-0 About the Author Jeroen Ooms Postdoc hacker for @ropensci at UC Berkeley

Jeroen Ooms