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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 Jeroen Ooms, Thomas Lin Pedersen

Release 1.4 of the magick package introducesa new feature called image convolution thatwas requested by Thomas L. Pedersen. In this post we explain what this is all about.Kernel Matrix The new image_convolve() function applies a kernel over the image. Kernel convolution means that each pixel value is recalculated using the weighted neighborhood sum defined in the kernel matrix.

Published
Author Jeroen Ooms

This week we released version 3.0 of the curl R package to CRAN. You may have never used this package directly, but curl provides the foundation for most HTTP infrastructure in R, including httr, rvest, and all packages that build on it. If R packages need to go online, chances are traffic is going via curl.

Published
Author Chris Baker

Why care about patents? 1. Patents play a critical role in incentivizing innovation, withoutwhich we wouldn’t have much of the technology we rely on everyday What does your iPhone, Google’s PageRank algorithm, and a buttersubstitute called Smart Balance all have in common? …They all probably wouldn’t be here if not for patents.

Published
Author Jeroen Ooms

We have started working on a new rOpenSci package called writexl. This package wraps the very powerful libxlsxwriter library which allows for exporting data to Microsoft Excel format. The major benefit of writexl over other packages is that it is completely written in C and has absolutely zero dependencies. No Java, Perl or Rtools are required.Getting Started The write_xlsx function writes a data frame to an xlsx file.

Published
Author Jeroen Ooms

The new rOpenSci spelling package provides utilities for spell checking common document formats including latex, markdown, manual pages, and DESCRIPTION files. It also includes tools especially for package authors to automate spell checking of R documentation and vignettes.Spell Checking Packages The main purpose of this package is to quickly find spelling errors in R packages.

Published
Author Kyle Bocinsky

The package FedData has gone through software review and is now part of rOpenSci. FedData includes functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from six datasets:The National Elevation Dataset (NED) digital elevation models (1 and 1/3 arc-second;

Published
Author Nicholas Tierney

This is a phrase that comes up when you first get a dataset. It is also ambiguous. Does it mean to do some exploratory modelling? Or make some histograms, scatterplots, and boxplots? Is it both? Starting down either path, you often encounter the non-trivial growing pains of working with a new dataset.