A package for dimensionality reduction of large data
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?
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?
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?
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.
What's inside? pkginspector provides helpful tools for inspecting package contents
R packages are widely used in science, yet the code behind them often does not come under scrutiny. To address this lack, rOpenSci has been a pioneer in developing a peer review process for R packages. The goal of pkginspector is to help that process by providing a means to better understand the internal structure of R packages. It offers tools to analyze and visualize the relationship among functions within a package, and to report whether or not functions’ interfaces are consistent.
