All posts (Page 105 of 121)
A new version of the ropensci magick package has been released to CRAN. Magick is a package for Advanced Image-Processing in R. It wraps the ImageMagick STL which is perhaps the most comprehensive open-source image processing library available today. Our original announcement has more details.
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New features
This new version now includes a beautiful vignette which gives an overview of the main functionality to get you started! It lists the various formats, transformations, effects, operations and much more.
...The rOpenSci project based at the University of California, Berkeley seeks to hire a postdoctoral scholar to work on the research activities funded by the grant titled “Fostering the next generation of sustainable software and reproducible research practices in the scientific community”. The project develops open source software to promote reproducible research practices in the scientific community. The postdoctoral scholar will focus on a research topic aligned with their own interests in order to better understand and improve scientific software practices. Possible topics include but are not limited to:...
The R package ecosystem for natural language processing has been flourishing in recent days. R packages for text analysis have usually been based on the classes provided by the NLP or tm packages. Many of them depend on Java. But recently there have been a number of new packages for text analysis in R, most notably text2vec, quanteda, and tidytext. These packages are built on top of Rcpp instead of rJava, which makes them much more reliable and portable. And instead of the classes based on NLP, which I have never thought to be particularly idiomatic for R, they use standard R data structures. The text2vec and quanteda packages both rely on the sparse matrices provided by the rock solid Matrix package. The tidytext package is idiosyncratic (in the best possible way!) for doing all of its work in data frames rather than matrices, but a data frame is about as standard as you can get. For a long time when I would recommend R to people, I had to add the caveat that they should use Python if they were primarily interested in text analysis. But now I no longer feel the need to hedge....
The new magick package is an ambitious effort to modernize and simplify high-quality image processing in R. It wraps the ImageMagick STL which is perhaps the most comprehensive open-source image processing library available today.
The ImageMagick library has an overwhelming amount of functionality. The current version of Magick exposes a decent chunk of it, but being a first release, documentation is still sparse. This post briefly introduces the most important concepts to get started. There will also be an rOpenSci community call on Wednesday in which we demonstrate basic functionality.
...We are excited to announce a paper describing rotl, our package for the
Open Tree of Life data, has been
published. The full
citation is:
Michonneau, F., Brown, J. W. and Winter, D. J. (2016), rotl: an R package to interact with the Open Tree of Life data. Methods Ecol Evol. doi: https://doi.org/10.1111/2041-210X.12593
The paper, which is freely available, describes the package and the data it wraps in detail. Rather than rehash the information here, we will use this post to briefly introduce the goals of the package and thank some of the people that helped it come to be.
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