| as_matrix | Get matrix from tibble |
| as_matrix-method | Get matrix from tibble |
| cluster_elements | Get clusters of elements (e.g., elements or features) |
| cluster_elements-method | Get clusters of elements (e.g., elements or features) |
| combine_nest | Combine columns and nest data for each permutation |
| combine_nest-method | Combine columns and nest data for each permutation |
| fill_missing | Fill feature value if missing from element-feature pairs |
| fill_missing-method | Fill feature value if missing from element-feature pairs |
| impute_missing | Impute feature value if missing from element-feature pairs |
| impute_missing-method | Impute feature value if missing from element-feature pairs |
| keep_variable | Keep top variable features across elements |
| keep_variable-method | Keep top variable features across elements |
| lower_triangular | Keep rows corresponding of a lower triangular matrix built from two columns |
| lower_triangular-method | Keep rows corresponding of a lower triangular matrix built from two columns |
| nest_subset | Nest according to selected-column-wise information |
| nest_subset-method | Nest according to selected-column-wise information |
| nest_subset-method | nest_subset |
| permute_nest | Permute columns and nest data for each permutation |
| permute_nest-method | Permute columns and nest data for each permutation |
| reduce_dimensions | Dimension reduction of the feature value data |
| reduce_dimensions-method | Dimension reduction of the feature value data |
| remove_redundancy | Drop redundant elements (e.g., elements) for which feature (e.g., feature/gene) aboundances are correlated |
| remove_redundancy-method | Drop redundant elements (e.g., elements) for which feature (e.g., feature/gene) aboundances are correlated |
| rotate_dimensions | Rotate two dimensions (e.g., principal components) of an arbitrary angle |
| rotate_dimensions-method | Rotate two dimensions (e.g., principal components) of an arbitrary angle |
| subset | Extract selected-column-wise information |
| subset-method | Extract selected-column-wise information |