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www.ericekholm.com | ||
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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. | |
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www.cedricscherer.com
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| | | | | A step-by-step tutorial explaining how my visualizations have evolved from a typical basic ggplot. Here, I transform a basic boxplot into a compelling and self-explanatory combination of a jittered dot strip plot and a lollipop plot. | |
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juliasilge.com
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| | | | | A data science blog | |
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ouzor.github.io
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| | | A minireview of R packages ggvis, rCharts, plotly and googleVis for interactive visualizations | ||
