R: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining

# Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining

## Documentation for package ‘arlclustering’ version 1.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

arlc_calculate_mode | Calculate the Mode of a Vector
arlc_clean_final_rules | Clean Final Rules
arlc_clusters_plot | Plot Graph with Custom Layout and Communities
arlc_convert_date_format | Convert a Date to a Different Format
arlc_count_na | Count NA Values in a Data Frame
arlc_df_summary | Create a Summary of a Data Frame
arlc_fct_clean_transactions | Clean Transactions by Removing Overlapping Sets
arlc_fct_get_best_apriori_thresholds | Get Best Apriori Thresholds
arlc_file_exists_readable | Check if a File Exists and is Readable
arlc_generate_clusters | Generate Clusters
arlc_generate_date_sequence | Generate a Sequence of Dates
arlc_generate_uid | Generate a Unique Identifier
arlc_gen_gross_rules | Get Gross Rules
arlc_gen_transactions | Get Transactional Dataset
arlc_get_apriori_thresholds | Get Apriori Thresholds
arlc_get_network_dataset | Get Network Dataset
arlc_get_NonR_rules | Get Non-Redundant Rules
arlc_get_significant_rules | Get Significant Rules
arlc_is_numeric_vector | Check if a Vector is Numeric
arlc_list_to_df | Convert List of Vectors to Data Frame
arlc_measure_time | Measure Execution Time of a Function
arlc_normalize_vector | Normalize a Numeric Vector
arlc_replace_na | Replace NA with a Specified Value