Santos Frédéric
Université de Bordeaux - CNRS - MCC, UMR 5199 PACEA, Pessac, F-33600, France.
Am J Phys Anthropol. 2018 Jan;165(1):200-205. doi: 10.1002/ajpa.23336. Epub 2017 Oct 10.
The mean measure of divergence is a dissimilarity measure between groups of individuals described by dichotomous variables. It is well suited to datasets with many missing values, and it is generally used to compute distance matrices and represent phenograms. Although often used in biological anthropology and archaeozoology, this method suffers from a lack of implementation in common statistical software. A package for the R statistical software, AnthropMMD, is presented here. Offering a dynamic graphical user interface, it is the first one dedicated to Smith's mean measure of divergence. The package also provides facilities for graphical representations and the crucial step of trait selection, so that the entire analysis can be performed through the graphical user interface. Its use is demonstrated using an artificial dataset, and the impact of trait selection is discussed. Finally, AnthropMMD is compared to three other free tools available for calculating the mean measure of divergence, and is proven to be consistent with them.
平均离散度度量是一种用于描述由二分变量所定义的个体组之间的差异度量。它非常适合处理存在大量缺失值的数据集,并且通常用于计算距离矩阵和绘制系统树图。尽管该方法在生物人类学和考古动物学中经常被使用,但在常见的统计软件中却缺乏相应的实现。本文介绍了一个用于R统计软件的包AnthropMMD。它提供了一个动态图形用户界面,是首个专门用于史密斯平均离散度度量的软件包。该包还提供了图形表示功能以及特征选择这一关键步骤,从而可以通过图形用户界面执行整个分析过程。文中使用一个人工数据集展示了其用法,并讨论了特征选择的影响。最后,将AnthropMMD与其他三个可用于计算平均离散度度量的免费工具进行了比较,结果证明它与这些工具的结果是一致的。