A package for dimensionality reduction of large data

August 1, 2018

By: Sean Hughes  |  Angela Li  |  Ju Kim  |  Malisa Smith  |  Ted Laderas

Motivation Note: Recently, two new UMAP R packages have appeared. These new packages provide more features than umapr does and they are more actively developed. These packages are: umap, which provides the same Python wrapping function as umapr and also an R implementation, removing the need for the Python version to be installed. It is available on CRAN. uwot, which also provides an R implementation, removing the need for the Python version to be installed.

rOpenSci Educators Collaborative: How Can We Develop a Community of Innovative R Educators?

July 26, 2018

By: Laura Ación  |  Mara Averick  |  Leonardo Collado Torres  |  Auriel Fournier  |  Alison Hill  |  Sean Kross  |  Lincoln Mullen

tl;dr: we propose three calls to action: Share your curricular materials in the open. Participate in the rOpenSci Education profile series. Discuss with us how you want to be involved in rOpenSci Educators’ Collaborative. In previous posts in this series, we identified challenges that individual instructors typically face when teaching science with R, and shared characteristics of effective educational resources to help address these challenges. However, the toughest challenges that educators in this area face are human, rather than technological.

rOpenSci Educators Collaborative: What Educational Resources Work Well and Why?

July 25, 2018

By: Laura Ación  |  Mara Averick  |  Leonardo Collado Torres  |  Auriel Fournier  |  Alison Hill  |  Sean Kross  |  Lincoln Mullen

In the first post of this series, we sketched out some of the common challenges faced by educators who teach with R across scientific domains. In this post, we delve into what makes a “good” educational resource for teaching science with R. For instructors teaching sciences with R, there are a number of open educational resources that they can reuse, tailor to their own teaching style, or use to inspire them in creating their own materials.

rOpenSci Educators Collaborative: What Are The Challenges When Teaching Science With R?

July 24, 2018

By: Laura Ación  |  Mara Averick  |  Leonardo Collado Torres  |  Auriel Fournier  |  Alison Hill  |  Sean Kross  |  Lincoln Mullen

Educators who teach science using R tend to face common pedagogical problems, regardless of their scientific domain. Yet instructors who teach with R often feel isolated at their institutions. They may be the only ones in their departments to teach using R. Even if there are others, the culture of collaboration around teaching is generally impoverished, unlike the rich culture of collaboration around research. In this three-part series of blog posts, participants at the rOpenSci 2018 unconf briefly survey the state of teaching science with R.

A package for tidying nested lists

June 26, 2018

By: Amanda Dobbyn  |  Jim Hester  |  Laura DeCicco  |  Christine Stawitz  |  Isabella Velasquez

Data == knowledge! Much of the data we use, whether it be from government repositories, social media, GitHub, or e-commerce sites comes from public-facing APIs. The quantity of data available is truly staggering, but munging JSON output into a format that is easily analyzable in R is an equally staggering undertaking. When JSON is turned into an R object, it usually becomes a deeply nested list riddled with missing values that is difficult to untangle into a tidy format.

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