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www.r-spatial.org | ||
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ouzor.github.io
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| | | | | A minireview of R packages ggvis, rCharts, plotly and googleVis for interactive visualizations | |
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zevross.com
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| | | | | In a popular previous post on raster processing in R we demonstrated how to reclassify, clip and map raster data using sample data from the GIS software QGIS as the example. The post concluded by p... | |
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www.r-statistics.com
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| | | | | Guest post by Jake Russ For a recent project I needed to make a simple sum calculation on a rather large data frame (0.8 GB, 4+ million rows, and ~80,000 groups). As an avid user of Hadley Wickham's packages, my first thought was to use plyr. However, the job took plyr roughly 13 hours to complete. plyr is extremely efficient | |
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www.rdatagen.net
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| | | Inspired by a free online course titled Complier Average Causal Effects (CACE) Analysis and taught by Booil Jo and Elizabeth Stuart (through Johns Hopkins University), I've decided to explore the topic a little bit. My goal here isn't to explain CACE analysis in extensive detail (you should definitely go take the course for that), but to describe the problem generally and then (of course) simulate some data. A plot of the simulated data gives a sense of what we are estimating and assuming. | ||
