Man pages for pjpalla/RFmarkerDetector
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... |
