Ranking Methods for Compositional Data
针对成分数据中零成分或对数比非正态分布限制分析的问题，提出在缩放前对案例和成分进行排序的新方法，并用数据集与其他方法比较。
In the analysis of compositional data, zero components or a non-normal distribution of the log-ratios \n severely limits the analysis that can be done. Ranking across both cases and components, before \n scaling, is suggested as a possible new approach. The idea is illustrated with a data set which \n compares the results with other methods including replacement of Os by small positive quantities and \n other ranking methods.