plotimptfeatures: MegaR analysis This function plots the top 10 important...
In BioHPC/megaR: An interactive R package for Metagenomic Data Analysis for Disease Prediction
View source: R/plotimptfeatures.R
Description
MegaR analysis
This function plots the top 10 important features for random forest
classification.
Usage
1
plotimptfeatures(RF_state_classify, noOffeature)
Arguments
RF_state_classify
the random forest model
noOffeature
no. of feature =10
BioHPC/megaR documentation built on Oct. 3, 2021, 10:05 a.m.
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View source: R/plotimptfeatures.R
Description
MegaR analysis This function plots the top 10 important features for random forest classification.
Usage
1 | plotimptfeatures(RF_state_classify, noOffeature)
|
Arguments
RF_state_classify |
the random forest model |
noOffeature |
no. of feature =10 |
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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