tag:blogger.com,1999:blog-4594832939334410220.post3301076150376367184..comments2024-02-12T06:23:51.153-06:00Comments on Deeply Trivial: Statistics Sunday: Violin PlotsUnknownnoreply@blogger.comBlogger2125tag:blogger.com,1999:blog-4594832939334410220.post-9568308485966399932020-01-29T12:12:04.806-06:002020-01-29T12:12:04.806-06:00Hallo sara,
one point: do you think that violin pl...Hallo sara,<br />one point: do you think that violin plots are suitable for displaying ordinal data or only continuous data? the issue is also if boxplots are appropriate for ordinal data, and small samples (N=20). Weissberger et al 2019, https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.118.037777 advises violin plots for continuous data and large sample sizes. In another post you suggest the use of histograms (http://www.deeplytrivial.com/2018/01/data-analysis-of-my-2017-reading.html). Could you give some advise / relevant references? What's your thoughts on this? Best, inêsInes Almeidahttps://twitter.com/inestalmeidanoreply@blogger.comtag:blogger.com,1999:blog-4594832939334410220.post-79766898944384213022018-01-22T02:39:04.330-06:002018-01-22T02:39:04.330-06:00Dear Sara,
thank you for this post on violin plo...Dear Sara, <br /><br />thank you for this post on violin plots! A similar kind of plot which I've come to appreciate a lot is the pirateplot (included in the R package "yarrr" by Nathaniel Philipps). It basically adds an indicator for central tendency and a CI or HDI and shows the raw data. Here is a link to the vignette of the pirateplot: https://cran.r-project.org/web/packages/yarrr/vignettes/pirateplot.html<br /><br />Kind Regards,<br />NatalieNataliehttps://www.blogger.com/profile/01222554145202341254noreply@blogger.com