Man pages for aberHRML/FIEmspro
Flow In-jection Electrospray Mass Spectrometry Processing: \\ data processing, classification modelling and variable selection in metabolite fingerprinting
| abr1 | abr1 dataset |
| accest | Classification Wrapper Using Customised Classifiers |
| dat.sel | Generate Pairwise Data Set Based on Class Labels |
| dat.sel1 | Generate Data Set List |
| feat.rank.re | Wrapper for Resampling Based Feature Ranking |
| fiems_lct_main | LCT Mass Binning |
| fiems_ltq_main | LTQ Mass Binning |
| fs.mrpval | Significance of Feature Ranking |
| fs.summary | Feature Ranking Resampling Summary |
| fs.techniques | Implementation of Feature Ranking Techniques |
| ftrank.agg | Aggregation of resampling based feature ranking results |
| grpplot | Scatter Plot by Group |
| hca.nlda | Hierarchical Clustering for Class 'nlda' |
| koptimp | Imputation of Low Values |
| mc.agg | Aggregation of classification results |
| mc.comp.1 | Multiple Classifier Predictions Comparison |
| mc.meas.iter | Summary of a predictor in mc.agg object |
| mc.roc | Generate ROC curves from several classifiers |
| mc.summary | Summary of multiple classifiers objects |
| mean.shift | Mean Shift |
| multibc | Multiple Metabolomics Fingerprint Baseline Correction |
| nlda | Linear Discriminant Analysis for High Dimensional Problems |
| onebc | Metabolomics Fingerprint Baseline Correction |
| outl.det | Detection and Display Outliers |
| panel.elli | panel.elli |
| parse_freq | Output Variable Frequencies in Nested Lists |
| parse_vec | Aggregation of Vectors in Nested Lists |
| pca.comp | pca.comp |
| plot.accest | Plot Method for Class 'accest' |
| plot.mc.roc | Plot multiple ROC curves |
| plot.nlda | Plot Method for Class 'nlda' |
| predict.nlda | Classify Multivariate Observations by 'nlda' |
| preproc | Data Tranformation Wrapper |
| summ.ftrank | Summarise multiple resampling based feature ranking outputs |
| ticstats | Compute and Display Total Ion Count (TIC) statistics |
| tidy.ftrank | Tidy up multiple resampling based ranking results. |
| trainind | Generation of Training Samples Indices |
| trainind.cv | Constrained Generation of Training Samples Indices |
| valipars | Generate Control Parameters For Validation / Resampling |
