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www.r-spatial.org
| | timogrossenbacher.ch
3.0 parsecs away

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| | In this blog post, I show how to easily produce a categorical spatial interpolation from a set of georeferenced points - only using the tidyverse, sf and the package kknn.
| | www.r-statistics.com
3.1 parsecs away

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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
| | www.cedricscherer.com
4.5 parsecs away

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| | Discover how to effortlessly generate custom and even complex graphics for subsets of your data by seamlessly integrating {ggplot2}'s versatile plotting functionalities with {purrr}'s powerful functional programing capabilities. This is especially helpful for data featuring many categories or step-by-step graphical storytelling
| | tdhock.github.io
7.3 parsecs away

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| Statistical machine learning researcher working on fast optimization algorithms for large data.