Ranking methods for compositional data

In the analysis of compositional data, zero components or a non‐normal distribution of the log‐ratios severely limits the analysis that can be done. Ranking across both cases and components, before scaling, is suggested as a possible new approach. The idea is illustrated with a data set which compares the results with other methods including replacement of Os by small positive quantities and other ranking methods.