training: Example Training Data
In qunfengdong/DMBC: Dirichlet-Multinomial Bayes Classifier (DMBC) for Microbiome Classification
Description
Usage
Format
Examples
Description
This is a simulated testing dataset with label for each sample.Relative abundance is used in DMBC version 1.1.0
data(training)
data(test)
CV=loocv(training)
auc_out =Cal_AUC(CV)
dmbc_predict(data=Meta_data,testset=test,auc_out=auc_out) ##delete
dmbc_predict(data=training,testSet=test,auc_out=auc_out)
Usage
1
Format
An object of class data.frame with 26 rows and 13 columns.
Examples
1
qunfengdong/DMBC documentation built on April 22, 2020, 7:27 p.m.
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Description Usage Format Examples
Description
This is a simulated testing dataset with label for each sample.Relative abundance is used in DMBC version 1.1.0 data(training) data(test) CV=loocv(training) auc_out =Cal_AUC(CV) dmbc_predict(data=Meta_data,testset=test,auc_out=auc_out) ##delete dmbc_predict(data=training,testSet=test,auc_out=auc_out)
Usage
1 |
Format
An object of class data.frame with 26 rows and 13 columns.
Examples
1 |
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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