GetImpFeatureMat: Get important feature matrix
In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data
View source: R/biomarker_utils.R
GetImpFeatureMat R Documentation
Get important feature matrix
Description
feat.outp is a list that contains the ranked features in each
cross validation (CV) and returns a two column matrix, col 1 = median ranking
and col 2 = mean importance measure
Usage
GetImpFeatureMat(mSetObj = NA, feat.outp, bestFeatNum)
Arguments
mSetObj
Input the name of the created mSetObj (see InitDataObjects)
feat.outp
Input the list that contains the ranked features in each
cross validation (CV) and returns a two column matrix, col 1 = median ranking
and col 2 = mean importance measure
bestFeatNum
Numeric
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/biomarker_utils.R
| GetImpFeatureMat | R Documentation |
Get important feature matrix
Description
feat.outp is a list that contains the ranked features in each cross validation (CV) and returns a two column matrix, col 1 = median ranking and col 2 = mean importance measure
Usage
GetImpFeatureMat(mSetObj = NA, feat.outp, bestFeatNum)
Arguments
mSetObj |
Input the name of the created mSetObj (see InitDataObjects) |
feat.outp |
Input the list that contains the ranked features in each cross validation (CV) and returns a two column matrix, col 1 = median ranking and col 2 = mean importance measure |
bestFeatNum |
Numeric |
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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