Tag Archives: R

Logging and Error Handling in Operational Systems

Posted on December 3, 2018 by Jonathan Callahan
This entry is part 22 of 22 in the series Using R

Operational systems, by definition, need to work without human input. Systems are considered “operational” after they have ben thoroughly tested and shown to work properly with a variety of input. However, no software is perfect and no real-world system operates …   read more …

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PWFSLSmoke 1.0: Visualizing Wildfire Smoke Data

Posted on January 17, 2018 by Helen Miller

Mazama Science has released the first official version (1.0) of the PWFSLSmoke R package for working with PM2.5 monitoring data. A beta version was released last year, along with an accompanying blog post. In this post, we discuss the purpose …   read more …

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Introducing the PWFSLSmoke Package

Posted on March 12, 2017 by Jonathan Callahan

Mazama Science has just released the PWFSLSmoke package. Source code is available on GitHub. Here is the package description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for …   read more …

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Python-style Logging in R

Posted on August 24, 2016 by Jonathan Callahan
This entry is part 20 of 22 in the series Using R

We are increasingly using R in “operational” settings that require robust error handling and logging. In this post we describe a quick-and-dirty way to get python style multi-level log files by wrapping the futile.logger package.

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When k-means Clustering Fails

Posted on February 3, 2016 by Jonathan Callahan
This entry is part 19 of 22 in the series Using R

Letting the computer automatically find groupings in data is incredibly powerful and is at the heart of “data mining” and “machine learning”. One of the most widely used methods for clustering data is k-means clustering. Unfortunately, k-means clustering can fail …   read more …

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