Man pages for cocoreg
Extract Shared Variation in Collections of Data Sets Using Regression Models
| add_notches | Add notch-like gaussian snippets to an existing signal x |
| apply_dc_meta | Apply extracted properties of a data collection to a data... |
| average_R2_dflst | Computes the R^2 (variance explained) between two lists of... |
| BGFA_cocoreg_interface | Apply GFA using the same interface as cocoreg() |
| BGFA_joint_info | Project BGFA components common to all datasets back to the... |
| cocoreg | The Common Components by Regression (CoCoReg) algorithm |
| cocoreg_by_path | Compute D_joint for dataset i separately for all paths Can be... |
| compose | Calculate the composition formed by applying all functions in... |
| compose_all | Calculate the average of the composition formed by applying... |
| create_mappings | Generate all possible pairwise mappings between the given... |
| create_syndata_mv | Create multivariate synthetic data |
| create_syn_data_puvar | A data collection with variables that "become unrelated... |
| create_syndata_pwl | A non-linear data collection using piecewise linearity |
| create_syn_data_toy | An illustrative synthetic data collection |
| create_syn_data_uds | A data collection with one unrelated dataset |
| create_syn_data_uvar | A collection with unrelated variables |
| create_Z_linear | Contains functions to create synthetic datasets with... |
| cshift | Circularly shift vector elements |
| data_collections2ggdf | Catenate a set of data collections (lists of data.frames)... |
| data_matrix_rmse | Compute RMSE between data.matrices dm1 and dm2 |
| dc_variability | Compute ds_variability for all datasets in a data collection |
| df_ggplot_melt | Melt data.frame into ggplottable format |
| dflst2array | Catenate a list of data.frames to a matrix along dim |
| dflst2df | Catenate a list of data.frames vertically to a single... |
| dflst2dfmelt | Combine a list of data.frames to a single molten data.frame |
| dflst_add_ds | Add a data.frame (dataset) to a list of data.frames... |
| dflst_dsnames2varnames | Append dataset names to variable names of the respective... |
| dflst_pca | Apply PCA to the data after catenating data.frames... |
| df_scale | Apply scale on a numeric data.frame |
| df_scale_ols | Scales variables in data.frame dfx using ordinary least... |
| dl_remove_NA | Remove rows with NA values from a list of data.frames |
| dl_scale | Run scale() on a list of data.frames |
| ds_variability | Compute variability_components for a dataset |
| generate_mapping_function | Generate a mapping function between two datasets |
| generate_paths | Generate all/some paths between points |
| generate_paths_cyclic | Generate cyclic paths |
| generate_paths_noncyclic | Generate non-cyclic paths |
| get_dc_meta | Extract important properties of data collection |
| get_range_datalist | Get [min, max] of a list of numeric objects |
| get_starting_dataset | Helper function to get the starting dataset based on a path. |
| ggcompare_dclst | Compare data collections variable by variable |
| ggplot_dclst | Plotting data collections using ggplot |
| ggplot_df | Plotting data.frame using ggplot |
| ggplot_dflst | Plot a list of data.frames using ggplot2 |
| make_data_gauss_2d | Make 2D gauss data (maybe obsolete) |
| mapping_glmnet | Define a mapping function using glmnet::glmnet |
| mapping_lm | Mapping stats::lm |
| mapping_lmridge | Define a mapping function using MASS::lm.ridge |
| mapping_pcr | Define a mapping function using pls::pcr |
| mapping_rf | Mapping randomForest |
| mapping_rlm | Mapping MASS::rlm |
| mappings_R2_matrix | Extract R2 values from a list of mappings using summary() |
| mapping_svm | Mapping svm |
| mapping_svm_sigmoid | Mapping svm using sigmoid |
| matrix_variability | Compute "variance" of the matrices using Frobenius norm.... |
| nplst_reorder_grid | Reorders a nested list of ggplots |
| pathify | Create a path |
| PCA_cocoreg_interface | PCA projection using cocoreg interface |
| rename_variables | Rename variables of a data collection |
| repmat | Replicate matrix to create a larger one |
| RGCCA_cocoreg_interface | COCOREG style analysis using RGCCA projection |
| rmse | Compute RMSE between vectors v1 and v2 |
| rotation_matrix | A rotation matrix |
| row_suffle_variability | Determine the variability of matrices under row shuffling |
| SCA_cocoreg_interface | SCA projection using cocoreg interface |
| se | Standard error of mean |
| ss | Sum of squares |
| svm_sigmoid | SVM using sigmoid kernel |
| to_unit_vec | Make vector of unit norm |
| traverse_nested_list | Apply fun to the bottom level of a nested list structure |
| validate_data | Validate a data collection for use with cocoreg |
| var_explained | Sum-of-squares values showing what portion of variance in... |
| variability_components | Compute total, within group and between group variability... |
| variation_shared_by | Return a specific variation component |
| vecnorm | Compute Euclidean norm of vector |
| vector_variability | Compute "variance" of the vectors var() |
| wrapper_BGFA | Run BGFA by Klami et. al. using data format conventions of... |
