Publicaciones de Rogue Scholar

language
Publicado in rOpenSci - open tools for open science
Autor Jeroen Ooms

This week we released a major new version of the rsvg package on CRAN. This package provides R bindings to librsvg2 which is a powerful system library for rendering svg images into bitmaps that can be displayed, or use for further processing in for example the magick package. The biggest change in this release is the R package on Windows and MacOS now includes the latest librsvg 2.48.4. This is a major upgrade;

Publicado in rOpenSci - open tools for open science
Autores The rOpenSci Team, Brooke Anderson, Robin Lovelace, Ben Marwick, Ben Raymond, Anton Van de Putte, Louise Slater, Sam Zipper, Ilaria Prosdocimi, Sam Albers, Claudia Vitolo

The COVID-19 pandemic has dramatically impacted all of our lives in a very short period of time.Spring and summer are usually very busy as students prepare to go the field to engage in various data collection efforts.The pandemic has also disrupted these carefully planned activities as travel is suspended and local and remote field stations have closed indefinitely.A lost field season can be a major setback for a dissertation timeline and

Publicado in rOpenSci - open tools for open science
Autor M.K. Lau

The R language has become very popular among scientists and analystsbecause it enables the rapid development of software and empowersscientific investigation. However, regardless of the language used,data analysis is usually complicated. Because of various projectcomplexities and time constraints, analytical software often reflectsthese challenges. “What did I measure? What analyses are relevant tothe study? Do I need to transform the data?

Publicado in rOpenSci - open tools for open science

For this Community Call, we’re trying something different. We’ll start with a short talk by Julia Silge , then spend most of the time on Q & A with four panelists - Elin Waring , Erin Grand , Leonardo Collado-Torres , and Scott Chamberlain - moderated by Julia. Our panelists bring a wide range of perspectives so there’s something for everyone.

Publicado in rOpenSci - open tools for open science
Autor Malcolm Morgan

With services like Google Maps, finding the fastest route from A to B has become quick, cheap, and easy. Not just for driving but walking, cycling and public transport too. But in the field of transport studies, we often want not only a single route, but thousands or millions of routes.

Publicado in rOpenSci - open tools for open science
Autor Jeroen Ooms

The latest version of the rOpenSci av package includes some useful new tools for working with audio data. We have added functions for reading, cutting, converting, transforming, and plotting audio data in any popular audio / video format (mp3, mkv, aac, etc). The functionality can either be used by itself, or to prepare audio data for further analysis in R using other packages.

babette 1 is a package to work with BEAST2 2 ,a software platform for Bayesian evolutionary analysis from R. babette is a spin-off of my own academic research.As a PhD I work on models of diversification: mathematical descriptionsof how species form new species.

Publicado in rOpenSci - open tools for open science
Autor Jeroen Ooms

As of earlier this year, we are now automatically building binaries and pkgdown documentation for all rOpenSci packages. One issue we encountered is that some packages include vignettes that require some special tools/data/credentials, which are unavailable on generic build servers.

Publicado in rOpenSci - open tools for open science

Studies of muscle physiology often rely on closed-source, proprietary software for not only recording data but also for data wrangling and analyses. Although specialized software might be necessary to record data from highly-specialized equipment, data wrangling and analyses should be free from this constraint.

Publicado in rOpenSci - open tools for open science
Autor Michael Sumner

In May 2019 version 0.2.0 of tidync was approved by rOpenSci and accepted to CRAN. Here we provide a quick overview of the typical workflow with some pseudo-code for the main functions in tidync. This overview is enough to read if you just want to try out the package on your own data.