Perform.ASCA.permute: Perform ASCA model validation by permutation
In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data
View source: R/multifac_asca_heatmap2.R
Perform.ASCA.permute R Documentation
Perform ASCA model validation by permutation
Description
Perform ASCA model validation by permutation
we use Manly's unrestricted permutation of observations
which esentially permutes the data over all cells in the
designed experiment, then calculates the score for
each main factor or interaction components.
This will get the null distribution for all effects in one go
Usage
Perform.ASCA.permute(mSetObj=NA, perm.num)
Arguments
mSetObj
Input name of the created mSet Object
perm.num
Select the number of permutations, default is 20
Author(s)
Jeff Xia jeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR documentation built on April 20, 2024, 8:13 p.m.
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View source: R/multifac_asca_heatmap2.R
| Perform.ASCA.permute | R Documentation |
Perform ASCA model validation by permutation
Description
Perform ASCA model validation by permutation we use Manly's unrestricted permutation of observations which esentially permutes the data over all cells in the designed experiment, then calculates the score for each main factor or interaction components. This will get the null distribution for all effects in one go
Usage
Perform.ASCA.permute(mSetObj=NA, perm.num)
Arguments
mSetObj |
Input name of the created mSet Object |
perm.num |
Select the number of permutations, default is 20 |
Author(s)
Jeff Xia jeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)
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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