Man pages for stemangiola/nanny
High-Level Data Analysis and Manipulation in 'tidyverse' Style
| add_attr | Add attribute to abject |
| as_matrix-methods | Get matrix from tibble |
| check_if_counts_is_na | Check whether there are NA counts |
| check_if_duplicated_genes | Check whether there are duplicated genes/transcripts |
| check_if_wrong_input | Check whether there are NA counts |
| cluster_elements-methods | Get clusters of elements (e.g., elements or features) |
| combine_nest-methods | Combine columns and nest data for each permutation |
| drop_attr | Drop attribute to abject |
| drop_class | Remove class to abject |
| error_if_counts_is_na | Check whether there are NA counts |
| error_if_duplicated_genes | Check whether there are duplicated genes/transcripts |
| error_if_log_transformed | Check whether a numeric vector has been log transformed |
| error_if_wrong_input | Check whether there are NA counts |
| fill_missing-methods | Fill feature value if missing from element-feature pairs |
| fill_NA_using_formula | This function is needed for DE in case the matrix is not... |
| fill_NA_using_value | This function is needed for DE in case the matrix is not... |
| gate_list | Gate list for clustering |
| get_clusters_kmeans_bulk | Get K-mean clusters to a tibble |
| get_clusters_SNN_bulk | Get SNN shared nearest neighbour clusters to a tibble |
| get_reduced_dimensions_MDS_bulk | Get dimensionality information to a tibble using MDS |
| get_reduced_dimensions_PCA_bulk | Get principal component information to a tibble using PCA |
| get_reduced_dimensions_TSNE_bulk | Get principal component information to a tibble using tSNE |
| get_rotated_dimensions | Get rotated dimensions of two principal components or MDS... |
| get_x_y_annotation_columns | get_x_y_annotation_columns |
| ifelse2_pipe | This is a generalisation of ifelse that accepts an object and... |
| ifelse_pipe | This is a generalisation of ifelse that acceots an object and... |
| impute_missing-methods | Impute feature value if missing from element-feature pairs |
| keep_variable-methods | Keep top variable features across elements |
| lower_triangular-methods | Keep rows corresponding of a lower triangular matrix built... |
| mtcars_tidy | Cibersort reference |
| nest_subset-methods | Nest according to selected-column-wise information |
| nest_subset.tbl | nest_subset |
| parse_formula | .formula parser |
| permute_nest-methods | Permute columns and nest data for each permutation |
| quo_names | Convert array of quosure (e.g. c(col_a, col_b)) into... |
| reduce_dimensions-methods | Dimension reduction of the feature value data |
| remove_redundancy_elements_though_reduced_dimensions | Identifies the closest pairs in a MDS contaxt and return one... |
| remove_redundancy_elements_through_correlation | Drop redundant elements (e.g., elements) for which feature... |
| remove_redundancy-methods | Drop redundant elements (e.g., elements) for which feature... |
| rotate_dimensions-methods | Rotate two dimensions (e.g., principal components) of an... |
| select_closest_pairs | Sub function of... |
| subset-methods | Extract selected-column-wise information |
| test_data | Example data set |
| test_data2 | Example data set reduced |
