| apply_quality_ctrl | Apply quality control measures to a dataset |
| assess_completeness | Assess completeness of a dataset |
| assess_quality | Assess quality of a dataset |
| assume_var_classes | Assume variable classes in data |
| cellspec_lgl | Kable logical data highlighting |
| compare_completeness | Compare Completeness between Datasets |
| compare_info_content | Information Content Comparison Table |
| compare_info_content_plt | Information Content Comparison Plot |
| completeness_heatmap | Completeness Heatmap |
| count_compare | Compare unique values before and after data modification |
| discrete.mi | Calculate mutual information of a matrix of discrete values |
| distant_neg_val | Find highly distant value for data frame |
| edge_tbl_to_graph | Convert edge table to tidygraph graph |
| encode_as_num_mat | Convert data frame to numeric matrix |
| encode_binary_cats | Encode categorical variables as binary factors |
| encode_bin_cat_vec | Encode a categorical vector with binary categories |
| encode_cats | Encode categorical variables using one-hot encoding. |
| encode_genotypes | Encode genotype/SNP variables in data frame |
| encode_genotype_vec | Encode a genotype/SNP vector |
| encode_ordinals | Encode ordinal variables |
| entropy | Calculate Entropy of a Vector |
| exact.kde | Exact kernel density estimation |
| example_data | Example data for eHDPrep |
| example_edge_tbl | Example ontology as an edge table for semantic enrichment |
| example_mapping_file | Example mapping file for semantic enrichment |
| example_ontology | Example ontology as a network graph for semantic enrichment |
| export_dataset | Export data to delimited file |
| extract_freetext | Extract information from free text |
| identify_inconsistency | Identify inconsistencies in a dataset |
| import_dataset | Import data into 'R' |
| import_var_classes | Import corrected variable classes |
| information_content_contin | Calculate Information Content (Continuous Variable) |
| information_content_discrete | Calculate Information Content (Discrete Variable) |
| join_vars_to_ontol | Join Mapping Table to Ontology Network Graph |
| max_catchNAs | Find maximum of vector safely |
| mean_catchNAs | Find mean of vector safely |
| merge_cols | Merge columns in data frame |
| metavariable_agg | Aggregate Data by Metavariable |
| metavariable_info | Compute Metavariable Information |
| metavariable_variable_descendants | Extract metavariables' descendant variables |
| min_catchNAs | Find minimum of vector safely |
| mi_content_discrete | Calculate Mutual Information Content |
| mod_track | Data modification tracking |
| node_IC_zhou | Calculate Node Information Content (Zhou et al 2008 method) |
| normalize | Min max normalization |
| nums_to_NA | Replace numeric values in numeric columns with NA |
| onehot_vec | One hot encode a vector |
| ordinal_label_levels | Extract labels and levels of ordinal variables in a dataset |
| plot_completeness | Plot Completeness of a Dataset |
| prod_catchNAs | Find product of vector safely |
| report_var_mods | Track changes to dataset variables |
| review_quality_ctrl | Review Quality Control |
| row_completeness | Calculate Row Completeness in a Data Frame |
| semantic_enrichment | Semantic enrichment |
| skipgram_append | Append Skipgram Presence Variables to Dataset |
| skipgram_freq | Report Skipgram Frequency |
| skipgram_identify | Identify Neighbouring Words (Skipgrams) in a free-text vector |
| strings_to_NA | Replace values in non-numeric columns with NA |
| sum_catchNAs | Sum vector safely for semantic enrichment |
| validate_consistency_tbl | Validate internal consistency table |
| validate_mapping_tbl | Validate mapping table for semantic enrichment |
| validate_ontol_nw | Validate ontology network for semantic enrichment |
| variable.bw.kde | Variable bandwidth Kernel Density Estimation |
| variable_completeness | Calculate Variable Completeness in a Data Frame |
| variable_entropy | Calculate Entropy of Each Variable in Data Frame |
| warn_missing_dots | Missing dots warning |
| zero_entropy_variables | Identify variables with zero entropy |