Jeroen Ooms

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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

rstudio RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Forcats Rstats Open Source Oss Reticulate Jeroen Ooms Ropensci

Jeroen Ooms

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

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