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I have a multivariate dataset of linear measurements. Where I measured several characters (e.g. skull length, skull width, skull height, ...) for several different species. My questions is, if the variation in one species is higher than in the others. How can I claculate that in R? Since a MANOVA claculates the differences of the means, I think that this is not the right approach and with an ANOVA I can see, if cariation between the different groups for each character is significant, but not which is higher and also not for the whole dataset together.

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  • $\begingroup$ Questions solely about how software works are off-topic here, but you may have a real statistical question buried here. You may want to edit your question to clarify the underlying statistical issue. You may find that when you understand the statistical concepts involved, the software-specific elements are self-evident or at least easy to get from the documentation. $\endgroup$ Commented May 30, 2016 at 14:22

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To avoid the heteroscedasticity problem (unequal variances), you could transform your data into ranks and then copy to a "rank" dataset, and rerun MANOVA. A problem, however, with ranks is that they are rectangularly-distributed, thus, you could transform your original values into van Der Waerden scores -- then rerun. van Der Waerden scores are used a lot in genetics.

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