Laboratory scientists are well equipped with statistical tools for univariate data, yet many phenomena of scientific interest are time-variant or otherwise multidimensional. Functional data analysis is one way of approaching such data: by representing these more complex data as single data points in a mathematical space of functions. The mathematical concept of functional depth provides a notion of centrality which allows for descriptive statistics and some comparative statistics on these data. Here, we present statdepth, a Python package for functional depth-based analyses which naturally extends familiar single-data-point L-statistics and related methods to time-variant data trajectories or multidimensional data.
翻译:实验室科学家完全具备了用于单亚麻黄碱数据的统计工具,然而,许多具有科学意义的现象具有时间差异性或其他多维性。功能数据分析是接近这些数据的一种方法:在功能的数学空间中将这些更为复杂的数据作为单一数据点。功能深度的数学概念提供了一个核心概念,它允许对这些数据进行描述性统计和一些比较性统计。在这里,我们提出一个数据深度,即功能深度分析的Python套件,它自然将熟悉的单数据点L-统计和相关方法延伸到时间变量数据轨迹或多维数据。</s>