| AbundanceSimilarityParam | Group features based on abundance similarities across samples |
| corRows | Correlate rows of a numeric matrix |
| featureGroups | Get or set feature group definitions from an object |
| featureGroups-method | Get or set feature group definitions from an object |
| featureGroups<- | Get or set feature group definitions from an object |
| featureGroups<--method | Get or set feature group definitions from an object |
| groupClosest | Group values with differences below threshold |
| groupConsecutive | Grouping of sorted values into sets with smallest differences |
| groupFeatures | General Feature Grouping Concept |
| groupFeatures-method | Group features based on abundance similarities across samples |
| groupFeatures-method | Group features based on approximate retention times |
| groupFeatures-similar-abundance | Group features based on abundance similarities across samples |
| groupFeatures-similar-rtime | Group features based on approximate retention times |
| groupSimilarityMatrix | Group rows of a diagonal matrix using a threshold |
| groupSimilarityMatrixTree | Identifies groups with intragroup pairwise distances less than maxDiff |
| se | Quantified LC-MS preprocessing result test data |
| SimilarRtimeParam | Group features based on approximate retention times |