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rOpenSci - open tools for open science

rOpenSci - open tools for open science
Open Tools and R Packages for Open Science
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Published
Authors Maëlle Salmon, Brooke Anderson, Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Karthik Ram, Noam Ross, Melina Vidoni

rOpenSci Software Peer Review’s guidance has been compiled in an online book for more than one year now. We’ve just released its fifth version.To find out what’s new in our dev guide 0.5.0, you can read the changelog,or this blog post for more digested information. A curation policy for rOpenSci packages The most exciting update to our guide is probably the addition of a chapter featuring rOpenSci package curation policy.

Published
Authors April Wright, Cristian Román-Palacios, Josef Uyeda

The data.table package enables high-performance extended functionality for data tables in R. treedata.table is a wrapperfor data.table for phylogenetic analyses that matches a phylogeny to the data.table, and preserves matching during data.table operations.Using the data.table package greatly increases analysis reproducibility and the efficiency of data manipulation operations over other ways of performing similar tasks inbase R, enabling

Published
Author Jonathan Keane

This post describes a few different aspects behind the scenes of the development of dittodb which recently went through the rOpenSci peer review process and was released to CRAN on 24 July 2020.This isn’t an introduction to the package itself (that’s available on dittodb’s site), but rather a look behind the scenes of the conceiving of the idea, the inspiration for, some of the development of, and history behind dittodb.

Published
Author 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?

Published
Authors Maëlle Salmon, Brooke Anderson, Anna Krystalli, Lincoln Mullen, Karthik Ram, Noam Ross, Scott Chamberlain, Melina Vidoni

rOpenSci Software Peer Review’s guidance has been compiled in an online book for more than one year now. We’ve just released its fourth version.To find out what’s new in our dev guide 0.4.0, you can read the changelog,or this blog post for more digested information. Policy and governance changes Some aspects of the software review process changed.

Published
Author Scott Chamberlain

parzer is a new package for handling messy geographic coordinates.The first version is now on CRAN, with binaries coming soon hopefully (seenote about installation below). The package recently completed rOpenScireview. parzer motivation The idea for this package started with a tweet from Noam Ross(https://twitter.com/noamross/status/1070733367522590721) about 15 months ago.

Published

“Continuous Integration” (CI) has become a standard for proper software development.Checking the integrity of software after changes have been made is essential to ensure its proper functionality.Also, CI helps catch problems introduced by dependencies early when executed on a regular basis (usually done via scheduled CRON runs). Multiple professional providers exist (Travis CI, AppVeyor CI, Circle CI, etc.) which offer CI services to the

Published
Author Kari Norman

Dealing with taxonomic inconsistencies within and across datasets is a fundamental challenge of ecology and evolutionary biology. Accounting for species synonyms, taxa splitting and unification is especially important as aggregation of data across time and different data sources becomes increasingly common.