R程序包“rdacca.hp”在生态学数据分析中的应用: 案例与进展

刘尧, 于馨, 于洋, 胡文浩, 赖江山

Application of “rdacca.hp” R package in ecological data analysis: case and progress

LIU Yao, YU Xin, YU Yang, HU Wen-Hao, LAI Jiang-Shan

表1 “rdacca.hp”包的函数介绍

Table 1 Function of “rdacca.hp” package

函数 Function 介绍 Description rdacca.hp 运行不限制解释变量数量的变差分解和层次分割, 计算每组解释变量对典范分析中解释变异(R2或校正R2)的边际、共同和单独效应Implements both variation partitioning and hierarchical partitioning in canonical analysis without limiting in the number of predictors/matrices of predictors. Output include the marginal, common, as well as individual effect of each (group) variables to total R2 or adjusted R2 permu.hp 对解释变量的单独效应进行置换检验以评估其显著性 Implements the significance testing for individual contribution from hierarchical partitioning by permutation routine plot.rdaccahp 基于“rdacca.hp”函数的输出, 绘制柱形图展示解释变量单独效应 Plot a bar plot of the individual contribution of predictors based on the output of rdacca.hp()