Supplement 1. R source code for functions and examples of selection ratio analysis on community aggregated traits (SRCAT).

File List srcat.R -- R source code to run SRCAT analyses srcat_examples.R -- R source code to run SRCAT examples Description The function srcat() calculates the probability that a site i will select state j from k alternative versions of a discrete trait. If a continuous trait is supplied, a discrete approximation is used to estimate the selective filter imposed by i as a probability function of the trait value. Both estimations are accomplished using data on species (relative) abundance at sites (S), species possession of trait states (W), and the expected availability of species to sites, assuming no trait-based selection (A). Function parameters are described in comments within the script. The script file srcat_examples.R runs several examples of SRCAT analysis using both discrete and continuous traits.文件列表： srcat.R —— 用于执行SRCAT分析的R源代码 srcat_examples.R —— 用于运行SRCAT分析示例的R源代码 描述： 函数srcat()可计算：当存在k个离散性状的可选状态时，某样地i选择状态j的概率。若输入为连续性状，则采用离散近似法，将样地i所施加的选择过滤作用，建模为该性状数值的概率函数以完成估算。两类估算均基于以下三类数据实现：样地内物种的（相对）多度数据（记为S）、物种所具备的性状状态数据（记为W），以及假设不存在基于性状的选择时，物种对样地的预期可获得性数据（记为A）。函数的参数说明已写入脚本内的注释中。脚本文件srcat_examples.R可运行多组针对离散性状与连续性状的SRCAT分析示例。