使用期限*
许可形式单机版
原产地美国
介质下载
适用平台Windows
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* Species traits Integrated trait matrix operations and overlays for traits
Decision Tree Poster Helps you understand the Advisor Wizard logic
Blocked Indicator Species Analysis
Dufrêne and Legendre’s (1997) method for Indicator Species Analysis can be adapted to a randomized block experiment or a paired-sample design. The data are pre-relativized by species within blocks (or pairs), such that the sum across groups equals one for each block. If a species is absent from a block, the abundances are maintained at zero. The relativization alters the relative abundance portion of the Indicator Value (IV) index to focus on within block differences. Then the ISA is run as usual. The randomization test differs from regular ISA in that instead of an unconstrained permutation of group identifiers, groups are randomly permuted within blocks.
Partial Mantel Test
The partial Mantel test requires three matrices, the main matrix, a second matrix, and a control matrix. The null hypothesis is of no relationship between the main and second matrices, after controlling for the relationship with the third (control) matrix. If we call the main matrix Y, the second matrix X, and the control matrix C, then we seek the partial correlation between X and Y while controlling for C.
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