Publications by rOpenSci - open tools for open science

rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

28.08.2017

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the air that hav...

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rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

28.08.2017

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the ...

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Community Call – rOpenSci Software Review and Onboarding

30.08.2017

Are you thinking about submitting a package to rOpenSci’s open peer software review? Considering volunteering to review for the first time? Maybe you’re an experienced package author or reviewer and have ideas about how we can improve. Join our Community Call on Wednesday, September 13th. We want to get your feedback and we’d love to answer...

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Community Call – rOpenSci Software Review and Onboarding

30.08.2017

Are you thinking about submitting a package to rOpenSci’s open peer software review? Considering volunteering to review for the first time? Maybe you’re an experienced package author or reviewer and have ideas about how we can improve. Join our Community Call on Wednesday, September 13th. We want to get your feedback and we’d lo...

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How rOpenSci uses Code Review to Promote Reproducible Science

31.08.2017

At rOpenSci, we create and curate software to help scientists with the data life cycle. These tools access, download, manage, and archive scientific data in open, reproducible ways. Early on, we realized this could only be a community effort. The variety of scientific data and workflows could only be tackled by drawing on contributions of scienti...

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How rOpenSci uses Code Review to Promote Reproducible Science

31.08.2017

This is cross-posted from the NumFOCUS blog. NumFOCUS is a nonprofit that supports and promotes world-class, innovative, open source scientific computing, including rOpenSci. At rOpenSci, we create and curate software to help scientists with the data life cycle. These tools access, download, manage, and archive scientific data in ope...

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Spelling 1.0: quick and effective spell checking in R

06.09.2017

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 fi...

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Spelling 1.0: quick and effective spell checking in R

06.09.2017

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 t...

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The writexl package: zero dependency xlsx writer for R

07.09.2017

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. G...

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Experiences as a first time rOpenSci package reviewer

07.09.2017

It all started January 26th this year when I signed up to volunteer as a reviewer for R packages submitted to rOpenSci. My main motivation for wanting to volunteer was to learn something new and to contribute to the R open source community. If you are wondering why the people behind rOpenSci are doing this, you can read How rOpenSci uses Code Rev...

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