RunViRf.StudyCase: run variable importance by random Forest on an object of...
In elqumsan/RNAseqMVA: Application of Multivariate Analysis methods to RNA-seq Data
Description
Usage
Arguments
Value
Author(s)
Description
run variable importance by random Forest on an object of class StudyCase to test importance on each feature of a data table, and order variables by decreasing the importance of features in dataTable.
Usage
1
2
## S3 method for class 'StudyCase'
RunViRf(self)
Arguments
self
object belong to StudyCase class.
Value
a clone of the input StudyCase object with an added
DataTableWithTrainTestSets containing the log2norm data table
where features have been re-ordered by decreasing the importance of the features.
Author(s)
Mustafa AbuElQumsan and Jacques van Helden
elqumsan/RNAseqMVA documentation built on March 10, 2021, 8:10 a.m.
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Description Usage Arguments Value Author(s)
Description
run variable importance by random Forest on an object of class StudyCase to test importance on each feature of a data table, and order variables by decreasing the importance of features in dataTable.
Usage
1 2 | ## S3 method for class 'StudyCase'
RunViRf(self)
|
Arguments
self |
object belong to StudyCase class. |
Value
a clone of the input StudyCase object with an added DataTableWithTrainTestSets containing the log2norm data table where features have been re-ordered by decreasing the importance of the features.
Author(s)
Mustafa AbuElQumsan and Jacques van Helden
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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