Perform.Permut: Perform permutation tests only for ROC Tester
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data
Description
Usage
Arguments
Author(s)
View source: R/biomarker_utils.R
Description
Perform permutation tests for the ROC Curve Based Model Creation and Evaluation module
Usage
1
Perform.Permut(mSetObj=NA, perf.measure, perm.num, propTraining = 2/3)
Arguments
mSetObj
Input the name of the created mSetObj (see InitDataObjects)
perf.measure
Input the performance measure to rate the performance of the model, either the area
under the ROC curve ("auroc") or the predictive accuracy ("accu")
perm.num
Input the number of permutations to perform
propTraining
Numeric, input the fraction of samples to set aside for training. Default is set to 2/3.
Author(s)
Jeff Xia jeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.
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Description Usage Arguments Author(s)
View source: R/biomarker_utils.R
Description
Perform permutation tests for the ROC Curve Based Model Creation and Evaluation module
Usage
1 | Perform.Permut(mSetObj=NA, perf.measure, perm.num, propTraining = 2/3)
|
Arguments
mSetObj |
Input the name of the created mSetObj (see InitDataObjects) |
perf.measure |
Input the performance measure to rate the performance of the model, either the area under the ROC curve ("auroc") or the predictive accuracy ("accu") |
perm.num |
Input the number of permutations to perform |
propTraining |
Numeric, input the fraction of samples to set aside for training. Default is set to 2/3. |
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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