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- Using R (21)
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Recent Posts
- PWFSLSmoke 1.0: Visualizing Wildfire Smoke Data
- Improved Python-style Logging in R
- Introducing the PWFSLSmoke Package
- Python-style Logging in R
- When k-means Clustering Fails
- Visualizing Bikeshare Data
- Function Argument Lists and missing()
- MazamaSpatialUtils — Ebola Map Example
- Installing subversion 1.7.10 on OSX Yosemite
- MazamaSpatialUtils Package
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Tag Archives: R
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 …
Python-style Logging in 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.
When k-means Clustering Fails
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 …
MazamaSpatialUtils — Ebola Map Example
The MazamaSpatialUtils package on CRAN has just been updated with additional shape file conversion scripts and location buffering so that points located just outside of polygons (i.e. coastal sites) can still be associated with the nearest neighboring polygon. This package … read more …