Multivariate Analysis of Metabolomics Data using Random Forests

aucMCV | AUC multiple cross-validation |

autoscale | Unit variance scaling method performed on the columns of the... |

cachexiaData | Metabolite concentrations |

combinatorialRFMCCV | Combinatorial Monte Carlo CV |

forestPerformance | Characterizing the performance of a Random Forest model |

getAvgAUC | Computing the average AUC |

getBestRFModel | Extracting the best performing Random Forest model |

lqvarFilter | Filtering 'low quality' variables from the original dataset |

mccv | mccv class |

mds | mds class |

meanCenter | Mean centering performed on the columns of the data (i.e.... |

optimizeMTRY | Mtry Optimization |

paretoscale | Pareto scaling method performed on the columns of the data... |

pca | Principal Component Analysis |

plotAUCvsCombinations | Plotting the average AUC as a function of the number of... |

plot.mccv | Plotting single or multiple ROC curves of the cross-validated... |

plot.mds | Multi-dimensional Scaling (MDS) Plot |

plotOOBvsMTRY | Plotting the average OOB error and its 95% confidence... |

plot.pca.loadings | PCA Loadings plot This function plots the relation between... |

plot.pca.scores | PCA Scores plot This function creates a plot that graphically... |

plotVarFreq | Variable Frequency Plot |

rfMCCV | Monte Carlo cross-validation of Random Forest models |

rfMCCVPerf | Extracting average accuracy and recall of a list of Random... |

rsd | Computing relative standard deviation of a vector |

rsdFilter | Filtering less informative variables |

screeplot | Scree Plot |

simpleData | simpleData |

tuneMTRY | Tuning of the mtry parameter for a Random Forest model |

tuneNTREE | Tuning of the ntree parameter (i.e. the number of trees) for... |

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