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www.r-spatial.org | ||
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tdhock.github.io
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| | | | | Statistical machine learning researcher working on fast optimization algorithms for large data. | |
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jaredknowles.com
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| | | | | [AI summary] This tutorial covers advanced R programming techniques including coding style, for loops, functions, mixed effect models, data mining with caret, and performance optimization. | |
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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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fharrell.com
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| | | Many researchers worry about violations of the proportional hazards assumption when comparing treatments in a randomized study. Besides the fact that this frequently makes them turn to a much worse approach, the harm done by violations of the proportional odds assumption usually do not prevent the proportional odds model from providing a reasonable treatment effect assessment. | ||
