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| %between% | Range helper functions |
| aggregate_by_vector | Aggreagate quantitative features. |
| asInteger | Coerce functions |
| between | Range helper functions |
| bin | Binning |
| closest | Relaxed Value Matching |
| coefMA | Smoothing |
| coefSG | Smoothing |
| coefWMA | Smoothing |
| coerce | Coerce functions |
| colCounts | Counts the number of features |
| common | Relaxed Value Matching |
| distance | Spectra Distance/Similarity Measurements |
| dotproduct | Spectra Distance/Similarity Measurements |
| group | Grouping of numeric values by similarity |
| i2index | Input parameter check for subsetting operations |
| imputeMethods | Quantitative mass spectrometry data imputation |
| impute_bpca | Quantitative mass spectrometry data imputation |
| impute_knn | Quantitative mass spectrometry data imputation |
| impute_matrix | Quantitative mass spectrometry data imputation |
| impute_min | Quantitative mass spectrometry data imputation |
| impute_mixed | Quantitative mass spectrometry data imputation |
| impute_mle | Quantitative mass spectrometry data imputation |
| impute_neighbour_average | Quantitative mass spectrometry data imputation |
| impute_with | Quantitative mass spectrometry data imputation |
| impute_zero | Quantitative mass spectrometry data imputation |
| isPeaksMatrix | Check functions |
| join | Relaxed Value Matching |
| localMaxima | Local Maxima |
| medianPolish | Return the Median Polish (Robust Twoway Decomposition) of a matrix |
| navdist | Spectra Distance/Similarity Measurements |
| ndotproduct | Spectra Distance/Similarity Measurements |
| neuclidean | Spectra Distance/Similarity Measurements |
| noise | Noise Estimation |
| normalizeMethods | Quantitative data normalisation |
| normalize_matrix | Quantitative data normalisation |
| nspectraangle | Spectra Distance/Similarity Measurements |
| ppm | PPM - Parts per Million |
| rbindFill | Combine R Objects by Row |
| refineCentroids | Refine Peak Centroids |
| rla | Calculate relative log abundances 'rla' calculates the relative log abundances (RLA, see reference) on a 'numeric' vector. 'rowRla' performs row-wise RLA calculations on a numeric 'matrix'. |
| robustSummary | Return the Robust Expression Summary of a matrix |
| rowRla | Calculate relative log abundances 'rla' calculates the relative log abundances (RLA, see reference) on a 'numeric' vector. 'rowRla' performs row-wise RLA calculations on a numeric 'matrix'. |
| smooth | Smoothing |
| validPeaksMatrix | Validation functions |
| valleys | Find Peak Valleys |
| vapply1c | vapply wrappers |
| vapply1d | vapply wrappers |
| vapply1l | vapply wrappers |