Tag Archives: R

Logging and Error Handling in Operational Systems

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

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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Python-style Logging in R

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

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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