Gábor Csárdi

ggplot2

An implementation of the Grammar of Graphics in R

Shiny for R

Easy interactive web applications with R

dplyr

dplyr: A grammar of data manipulation

rstudio

RStudio is an integrated development environment (IDE) for R

devtools

Tools to make an R developer’s life easier

shiny-examples

tidyverse

Easily install and load packages from the tidyverse

tidyr

Tidy Messy Data

Bringing OpenTelemetry to R in production

Posit has instrumented Shiny, plumber2, mirai, httr2, ellmer, knitr, testthat, and DBI with OpenTelemetry, and created tools for you to instrument your own packages, bringing production-grade observability to R

Charlie Gao, Aaron Jacobs, Barret Schloerke, Gábor Csárdi

nanoparquet 0.5.1

nanoparquet 0.5.1 brings lots of bug fixes and a few new features: list columns, bit64::integer64 and blob::blob support, writing Parquet to the standard output

Gábor Csárdi

processx 3.9.0

processx 3.9.0 brings kernel-level process pipelines, pseudo-terminal support on Windows, Linux parent-death signals, binary I/O, and several other quality-of-life improvements

Gábor Csárdi

nanoparquet 0.4.0

nanoparquet 0.4.0 comes with a new and much faster read_parquet(), configurable type mappings in write_parquet(), and a new append_parquet()

Gábor Csárdi

nanoparquet 0.3.0

Nanoparquet is a new R package that can read and write (flat) Parquet files. This post covers its features and limitations

Gábor Csárdi

pak 0.6.0

pak installs R packages from various sources. pak is fast, safe and convenient. This post shows the improvements in system requirements support on Linux, in the just released pak 0.6.0 version

Gábor Csárdi

GitHub Actions for R developers, v2

We have updated our GitHub Actions at r-lib/actions. Consider upgrading to the new v2 version, for faster and more reliable GHA jobs

Gábor Csárdi

cli 3.1.0

cli 3.1.0 introduces customizable color palettes plus it comes with a number of other smaller improvements

Gábor Csárdi

roxygen2 7.1.0

A minor roxygen2 release with some new features

Gábor Csárdi

Gabor Csardi | pkgman A fresh approach to package installation | RStudio (2019)

The main goals of pkgman is to make package installation fast and more reliable. This allows new, simpler and safer workflows, such as separate package libraries for projects. In this talk, we will show the features that make pkgman fast, convenient and reliable. Features that make pkgman fast: * Concurrency: pkgman performs all downloads, package builds and installations concurrently by default. * Metadata and package cache: pkgman caches all metadata and all downloaded and locally built packages in its cache. * Lazyness: pkgman only downloads and installs packages if needed. Features that make pkgman convenient: * BioC and GitHub packages are supported seamlessly. * Informative UI. pkgman can lay out the installation/update plan, that the user needs to confirm. It returns data about downloads, builds, installations, etc. Features that make pkgman reliable: * Dependency solver. pkgman makes sure that you end up in consistent, working state of dependencies. * Private library: pkgman’s own dependencies do not affect your regular package library, and vice versa. pkgman does not load any packages from your regular library. About the Author Gábor Csárdi Gábor is a software engineer at RStudio, working in Hadley’s team on R infrastructure packages

Gábor Csárdi

Multi Process Task Queue in 100 Lines of R Code

We use callr::r_session to implement a worker pool and task queue in 100 lines of R code

Gábor Csárdi

callr 3.3.0

callr 3.3.0 is now on CRAN

Gábor Csárdi

Resource Cleanup in C and the R API

How to avoid resource leaks in C code in R packages? Introducing the cleancall package

Gábor Csárdi, Lionel Henry

processx 3.2.0

Run external processes with processx

Gábor Csárdi