Blog Archives

Spelling 1.0: quick and effective spell checking in R

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. The spell_check_package() function extracts all...

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How rOpenSci uses Code Review to Promote Reproducible Science

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 ...

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How rOpenSci uses Code Review to Promote Reproducible Science

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 var...

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Community Call – rOpenSci Software Review and Onboarding

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 your questions! Agenda Welcome...

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Community Call – rOpenSci Software Review and Onboarding

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 your questions! Agenda Welcome (Stefanie Butland,...

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

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 determinin...

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

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

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 have...

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FedData – Getting assorted geospatial data into R

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; USGS) The National Hydrography...

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Onboarding visdat, a tool for preliminary visualisation of whole dataframes

Take a look at the data 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 o...

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