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by default factor(x) in #rstats creates levels on the sorted unique values x panels <- c("pre-test", "post-test") factor(panels) #> [1] pre-test post-test #> Levels: post-test pre-test❌ factor(panels, levels = panels) #> [1] pre-test post-test #> Levels: pre-test post-test✔️
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Akshay Birdhi retweeted
The Church of the 95% Confidence Interval #rstats
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Adam P. Summers retweeted
Recolorize, my image segmentation package, is now on CRAN (cran.r-project.org/package=r…)! Exports to a variety of formats, including raster, pavo, patternize, or vector images. More examples coming soon, but for now, check out the documentation: hiweller.github.io/recoloriz… #colsci #rstats
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A few end-of-the-semester reflections on my grad-level intro to GLMM with #RStats course: 1/4
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