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r4ds.had.co.nz
| | programminghistorian.org
3.6 parsecs away

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| | www.cedricscherer.com
2.3 parsecs away

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| | An extensive tutorial containing a general introduction to ggplot2 as well as many examples how to modify a ggplot, step by step. It covers several topics such as different chart types, themes, design choices, plot combinations, and modification of axes, labels, and legends, custom fonts, interactive charts and many more.
| | statsandr.com
1.8 parsecs away

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| | Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package
| | www.rdatagen.net
28.1 parsecs away

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| A researcher recently approached me for advice on a cluster-randomized trial he is developing. He is interested in testing the effectiveness of two interventions and wondered whether a 2×2 factorial design might be the best approach. As we discussed the interventions (I'll call them \(A\) and \(B\)), it became clear that \(A\) was the primary focus. Intervention \(B\) might enhance the effectiveness of \(A\), but on its own, \(B\) was not expected to have much impact. (It's also possible that \(A\) alone doesn't work, but once \(B\) is in place, the combination may reap benefits.) Given this, it didn't seem worthwhile to randomize clinics or providers to receive B alone. We agreed that a three-arm cluster-randomized trial-with (1) control, (2) \(A\) alone, a...