getInfluentialTaxa: Adding Influential Taxa Evaluation to the C3NA Object
In zhouLabNCSU/C3NA: Correlation and Consensus-Based Cross-Taxonomy Network Analysis (C3NA)
View source: R/influentialTaxa.r
getInfluentialTaxa R Documentation
Adding Influential Taxa Evaluation to the C3NA Object
Description
Using Paired Wilcoxon Test to evaluate each taxa based on the degree,
betweenness and transitivity changes.
Usage
getInfluentialTaxa(C3NAObj = C3NAObj, C3NAFDR = 0.05)
Arguments
C3NAObj
(Required) The C3NAObj after the comparePhenotypes() function
C3NAFDR
(Optional) This allows to change the BH-Adjuted p-value for the paired
Wilcoxon test for degree, betweenness and transitivity
zhouLabNCSU/C3NA documentation built on Oct. 10, 2022, 4:43 a.m.
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View source: R/influentialTaxa.r
| getInfluentialTaxa | R Documentation |
Adding Influential Taxa Evaluation to the C3NA Object
Description
Using Paired Wilcoxon Test to evaluate each taxa based on the degree, betweenness and transitivity changes.
Usage
getInfluentialTaxa(C3NAObj = C3NAObj, C3NAFDR = 0.05)
Arguments
C3NAObj |
(Required) The C3NAObj after the comparePhenotypes() function |
C3NAFDR |
(Optional) This allows to change the BH-Adjuted p-value for the paired Wilcoxon test for degree, betweenness and transitivity |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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