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 |