Package index • longworkR

Employment Consolidation

Functions for consolidating overlapping, adjacent, and gapped employment periods.

consolidate_overlapping(): Consolidate Overlapping Employment Periods
consolidate_adjacent(): Consolidate Adjacent Employment Periods
consolidate_short_gaps(): Consolidate Employment Periods with Short Gaps
consolidate_by_employer(): Consolidate Employment Periods by Employer
consolidate_employer_gaps(): Consolidate Employment Periods by Employer and Short Gaps (Combined)
mark_employer_consolidation(): Mark Records for Employer Consolidation (Lightweight)
summarize_consolidation(): Summarize Consolidation Metrics
extract_consolidation_metrics(): Extract Consolidation Metrics from Employment Transition Analysis
analyze_consolidated_periods(): Analyze Consolidated Employment Periods Using over_id

Transition Analysis

Analyze employment transitions, overlaps, and network structures.

analyze_employment_transitions(): Analyze Employment Transitions from Pipeline Output
analyze_employment_transitions_with_metrics(): Analyze Employment Transitions with Consolidation Metrics
analyze_employment_overlaps(): Analyze Employment Overlaps Using over_id
analyze_transitions_network(): Analyze Network Structure from Transitions Data
create_consolidated_transition_matrix(): Create Consolidated Transition Matrix Using over_id
create_monthly_transition_matrices(): Create Monthly Transition Matrices from Vecshift Data with Advanced Memory Management
create_monthly_transition_matrices_optimized(): Create Monthly Transition Matrices - Optimized Version (Vectorized)

Career Metrics

Calculate career complexity, stability, success, and transition metrics.

calculate_career_complexity_metrics(): Calculate Career Complexity Metrics for General Career Analysis
calculate_career_stability_metrics(): Calculate Career Stability Metrics for General Career Analysis
calculate_career_success_metrics(): Calculate Career Success Metrics Combining Quality and Stability (Optimized)
calculate_career_transition_metrics(): Calculate Career Transition Metrics with Duration and Salary Analysis
calculate_comprehensive_career_metrics(): Comprehensive Career Metrics Analysis
calculate_contract_quality_metrics(): Calculate Contract Quality Metrics
calculate_employment_stability_metrics(): Calculate Employment Stability Metrics
calculate_transition_pattern_metrics(): Calculate Transition Pattern Metrics
calculate_comprehensive_impact_metrics(): Comprehensive Impact Metrics Calculation
calculate_impact_career_complexity_metrics(): Calculate Career Complexity Metrics

Career Clustering

Cluster career trajectories and visualize cluster profiles.

cluster_career_trajectories(): Cluster Career Trajectories into Meaningful Segments
plot_cluster_profiles(): Visualize Career Cluster Profiles
plot_employment_complexity(): Plot Employment Complexity Using over_id

Trajectory Tracking

Track employment trajectories across contracts, employers, professions, and sectors.

track_contract_trajectories(): Track Contract Trajectories
track_employer_trajectories(): Track Employer Trajectories
track_professional_trajectories(): Track Professional Trajectories
track_professional_group_trajectories(): Track professional group trajectories over time
track_sector_trajectories(): Track Sector Trajectories

Survival Analysis

Contract survival estimation, comparison, and metrics.

estimate_contract_survival(): Estimate Contract Survival Curves
estimate_contract_survival_optimized(): Optimized Contract Survival Estimation
compare_contract_survival(): Compare Survival Curves Across Contract Types
add_contract_survival_metrics(): Add Contract Survival Metrics to Employment Data
add_all_survival_metrics_optimized(): Add All Survival Metrics Using Optimized Vectorized Operations
add_survival_probabilities(): Add Survival Probabilities to Data
calculate_median_survival_probability(): Calculate Median Survival Probability (DEPRECATED)
export_survival_results(): Export Survival Analysis Results
visualize_contract_survival(): Visualize Contract Survival Curves

Impact Evaluation Methods

Core causal inference methods for employment policy evaluation.

difference_in_differences(): Difference-in-Differences Estimation
propensity_score_matching(): Propensity Score Matching for Impact Evaluation (Person-Level Matching)
regression_discontinuity(): Main Regression Discontinuity Design Estimation
synthetic_control_method(): Synthetic Control Method Wrapper
event_study_design(): Event Study Design
coarsened_exact_matching(): Coarsened Exact Matching (CEM) with Person-Level Matching

Impact Matching & Assessment

Treatment identification, matching diagnostics, and robustness checks.

create_treatment_control_groups(): Create Treatment and Control Groups
identify_treatment_events(): Identify Treatment Groups for Impact Evaluation
aggregate_treatment_effects(): Treatment Effect Aggregation
assess_balance(): Balance Assessment for Matched Data
assess_match_quality(): Match Quality Diagnostics
assess_treatment_event_quality(): Assess Treatment Event Quality
diagnose_matching_data(): Data Quality Diagnostics for Propensity Score Matching
prepare_metrics_for_impact_analysis(): Prepare Metrics Output for Impact Analysis
rdd_robustness_checks(): RDD Robustness Checks
rdd_placebo_tests(): RDD Placebo Tests and Density Tests

Impact Reporting

Export and format impact evaluation results.

export_impact_results(): Export Impact Evaluation Results in Multiple Formats
generate_impact_report(): Generate Comprehensive Impact Evaluation Report
create_impact_summary_table(): Create Publication-Ready Impact Summary Tables

Visualization: Networks

Static and interactive network visualizations for employment transitions.

plot_transitions_network(): Plot Employment Transitions Network
plot_transitions_hierarchical(): Plot Employment Transitions - Hierarchical Layout
plot_transitions_heatmap(): Plot Employment Transitions Heatmap
plot_transitions_circular(): Plot Employment Transitions - Circular Layout
plot_transitions_over_time(): Create Time-Based Animated Employment Transitions
plot_transition_flows(): Plot Employment Transition Flows
plot_overlap_patterns(): Plot Overlapping Employment Patterns
plot_interactive_transitions(): Create Interactive Employment Transition Visualization
convert_transitions_to_g6r(): Convert Employment Transitions to g6r Format
generate_g6r_demo_data(): Employment Transitions g6r Examples and Tutorials
interactive_transitions_module(): Create Shiny Module for Interactive Employment Transitions
create_enhanced_transitions_dashboard(): Create Enhanced Employment Transitions Dashboard with Consolidation

Visualization: Survival

Survival curve plots, heatmaps, and animations.

plot_survival_comparison(): Compare Survival Curves Visually
plot_survival_heatmap(): Create Survival Heatmap by Contract Type
plot_median_survival_forest(): Create Forest Plot of Median Survival Times
animate_survival_curves(): Create Animated Survival Curves
create_risk_table(): Create Risk Table for Survival Plot

Visualization: Impact

Plots for impact evaluation results.

plot_did_results(): Plot Difference-in-Differences Results
plot_event_study(): Plot Event Study Results
plot_impact_summary(): Plot Impact Evaluation Summary
plot_balance_assessment(): Plot Covariate Balance Assessment
plot_synthetic_control(): Plot Synthetic Control Results
plot_treatment_control_comparison(): Plot Treatment vs Control Group Comparisons
rdd_plot(): RDD Visualization

Visualization: Employment

Employment timeline, distribution, and summary visualizations.

plot_employment_gantt(): Plot Employment Gantt Chart
plot_employment_gantt_advanced(): Plot Advanced Employment Gantt Chart with Career Metrics Summary
plot_employment_timeline(): Plot Employment Timeline
plot_employment_heatmap(): Plot Employment Heatmap
plot_employment_distribution(): Plot Employment Status Distribution
plot_employment_summary(): Plot Employment Summary Dashboard
plot_integrated_employment_metrics(): Integrated Employment Timeline and Career Metrics Visualization
plot_duration_analysis(): Plot Duration Analysis
plot_over_id_distribution(): Plot over_id Distribution Analysis
plot_consolidation_comparison(): Compare Raw vs Consolidated Transitions
quick_employment_viz(): Quick Employment Data Visualization
compare_transitions_between_groups(): Compare Employment Transitions Between Groups

Theme & Colors

Consistent theming, color scales, and accessibility tools.

theme_vecshift(): Vecshift ggplot2 Theme
set_vecshift_theme(): Set Vecshift as Default ggplot2 Theme
reset_default_theme(): Reset to Default ggplot2 Theme
scale_color_vecshift() scale_colour_vecshift() scale_fill_vecshift(): Vecshift Color Scale for ggplot2
scale_fill_vecshift_bw(): Black and White Fill Scale with Pattern Support
scale_linetype_vecshift(): Line Type Scale for Vecshift Visualizations
vecshift_colors(): Get Vecshift Color Palette
vecshift_patterns(): Get Vecshift Pattern Specifications
vecshift_linetypes(): Get Line Type Patterns for Time Series
get_employment_colors(): Get Employment-Specific Colors
preview_vecshift_colors(): Preview Vecshift Color Palette
preview_bw_patterns(): Preview Pattern and Color Combinations

Temporal Indicators

Compute temporal employment indicators, CPI mapping, and summaries.

compute_temporal_employment_indicators(): Compute Temporal Employment Indicators from vecshift Data
create_temporal_indicators_summary(): Create Temporal Indicators Summary for Multiple Groups
add_cpi_to_data(): Add CPI information to a data.table
add_cpi_via_belfiore(): Add CPI via Belfiore codes
load_belfiore_mapping(): Load Belfiore to ISTAT mapping
create_comune_cpi_lookup(): Create comune to CPI lookup table
generate_comune_cpi_lookup(): Generate and save comune-CPI lookup table

Data & Utilities

Sample data generation, synthetic data, and accessibility reports.

sample: Sample Employment Data
create_sample_employment_data(): Create Sample Employment Data for Visualization Testing
generate_synthetic_employment_data(): Generate Synthetic Employment Data
validate_synthetic_data(): Validate Synthetic Data Quality
synthetic_sample: Synthetic Sample Employment Data with Policy Events
.check_g6r(): Interactive Employment Transitions with g6r
test_g6r_accessibility(): Test g6r Accessibility Features
test_vecshift_accessibility(): Test Color Accessibility
create_accessibility_report(): Create Accessibility Report for Network Visualizations

Internal

Internal helper functions and documentation pages.

calculate_career_success_index_for_impact(): Calculate Career Success Index for Impact Analysis
calculate_employer_trajectories_vectorized(): Vectorized employer trajectory calculation helper function
calculate_l1_imbalance(): Calculate L1 Imbalance Measure
calculate_professional_group_trajectories_vectorized(): Calculate professional group trajectories vectorized (internal helper function)
calculate_professional_trajectories_vectorized(): Vectorized professional trajectory calculation helper function
calculate_sector_trajectories_vectorized(): Vectorized sector trajectory calculation helper function
calculate_trajectories_vectorized(): Vectorized trajectory calculation helper function
calculate_unified_career_metrics_optimized(): Ultra-Optimized Unified Career Metrics Calculation (Internal)
cem_fallback_implementation(): Fallback CEM Implementation (native R, no dependencies) with Person-Level Matching
cem_native_implementation(): Native CEM Implementation (using CEM package) with Person-Level Matching
consolidation_helpers: Consolidation Helper Functions
consolidation_metrics: Consolidation Metrics Functions for longworkR Package
.add_circular_titles(): Add Circular Plot Titles
.add_consolidation_info(): Add Consolidation Information to tidygraph
.add_edges(): Add Network Edges with Styling
.add_edges_with_consolidation(): Add Edges with Consolidation Styling
.add_heatmap_color_scale(): Add Heatmap Color Scale
.add_heatmap_titles(): Add Heatmap Titles
.add_hierarchical_edges(): Add Hierarchical Edges
.add_hierarchical_labels(): Add Hierarchical Labels
.add_hierarchical_metrics(): Add Hierarchical Metrics to Graph
.add_hierarchical_nodes(): Add Hierarchical Nodes
.add_hierarchical_titles(): Add Hierarchical Plot Titles
.add_labels(): Add Network Labels
.add_level_backgrounds(): Add Level Backgrounds to Hierarchical Plots
.add_network_metrics(): Add Network Metrics to tidygraph Object
.add_network_titles(): Add Network Titles and Subtitles
.add_nodes(): Add Network Nodes with Styling
.analyze_temporal_consolidation(): Analyze temporal consolidation patterns using over_id
.apply_circular_ordering(): Apply Circular Node Ordering
.apply_circular_theme(): Apply Circular Theme
.apply_employer_consolidation_simple(): Simple employer consolidation for metrics calculation
.apply_hierarchical_theme(): Apply Hierarchical Theme
.apply_network_theme(): Apply Network Theme Styling
.apply_temporal_consolidation_simple(): Simple temporal consolidation for metrics calculation
.assess_color_contrast(): Assess Color Contrast Ratios
.assess_consolidation_benefits(): Assess Consolidation Benefits
.assess_layout_complexity(): Assess Layout Complexity for Readability
.calculate_memory_aware_limit(): Calculate Memory-Aware Sample Size Limit (Internal)
.calculate_mode_optimized(): Calculate Mode Using Optimized data.table Operations
.calculate_weighted_median_optimized(): Calculate Weighted Median Using Optimized Algorithm
.characterize_clusters(): Characterize Clusters and Generate Bilingual Labels (Internal)
.check_g6r(): Interactive Employment Transitions with g6r
.check_ggraph_packages(): Check Required Packages for ggraph Functions
.compute_calinski_harabasz(): Compute Calinski-Harabasz Index (Internal)
.compute_cluster_quality(): Compute Cluster Quality Metrics (Internal)
.compute_contract_quality(): Compute Contract Quality Indicators for Temporal Periods
.compute_distance_to_centroid(): Compute Distance to Cluster Centroid (Internal)
.compute_dunn_index(): Compute Dunn Index (Internal)
.compute_employment_rate(): Compute Employment Rate for Temporal Periods
.compute_feature_importance(): Compute Feature Importance for Clustering (Internal)
.convert_to_matrix(): Convert Data to Matrix Format
.convert_to_tidygraph(): Convert Transitions Data to tidygraph Object
.convert_types_optimized(): Convert Integer Columns to Numeric (Optimized)
.create_academic_template(): Create Academic Template Content
.create_arc_diagram(): Create Arc Diagram
.create_bar_plot(): Create Grouped Bar Chart for Cluster Profiles (Internal)
.create_baseline_metrics(): Create baseline metrics for no consolidation case
.create_chord_diagram(): Create Chord Diagram
.create_complexity_network_data(): Create Complexity Network Data
.create_consolidation_comparison_plot(): Create Consolidation Comparison Plot
.create_density_plot(): Create Density Plot
.create_empty_heatmap_plot(): Create Empty Heatmap Plot for Error Cases
.create_empty_network_plot(): Create Empty Network Plot for Error Cases
.create_empty_statistics_result(): Create Empty Statistics Result Structure
.create_executive_template(): Create Executive Template Content
.create_heatmap_plot(): Create Heatmap for Cluster Profiles (Internal)
.create_main_rdd_plot(): Create Main RDD Plot
.create_over_id_boxplot(): Create over_id Boxplot
.create_over_id_density(): Create over_id Density Plot
.create_over_id_histogram(): Create over_id Histogram
.create_over_id_summary_plot(): Create over_id Summary Plot
.create_period_ranges(): Helper function to create date ranges for temporal periods OPTIMIZED: Fully vectorized period range calculation for maximum performance
.create_policy_template(): Create Policy Template Content
.create_radar_plot(): Create Radar/Spider Chart for Cluster Profiles (Internal)
.create_rmd_template(): Create R Markdown Template
.create_technical_template(): Create Technical Template Content
.create_wheel_diagram(): Create Wheel Diagram
.determine_optimal_clusters(): Determine Optimal Number of Clusters (Hybrid Approach)
.elbow_method(): Elbow Method for Optimal k Selection
.estimate_fuzzy_rdd(): Estimate Fuzzy RDD
.estimate_sharp_rdd(): Estimate Sharp RDD
.export_plots(): Export Plots
.export_to_csv(): Export to CSV Format
.export_to_json(): Export to JSON Format
.export_to_xlsx(): Export to Excel Format
.extend_color_palette(): Extend Color Palette for Large Numbers of Categories
.format_balance_table(): Format Balance Table
.format_descriptive_table(): Format Descriptive Statistics Table
.format_main_results_table(): Format Main Results Table
.format_robustness_table(): Format Robustness Table
.generate_cluster_labels(): Generate Bilingual Cluster Labels Based on Characteristics (Internal)
.generate_consolidated_data_for_metrics(): Generate consolidated data for metrics when not available from main function
.generate_consolidation_recommendations(): Generate consolidation recommendations
.get_accessibility_colors(): Get Accessibility-Friendly Color Palettes
.get_available_memory_gb(): Get Available (Free) RAM in GB
.get_hierarchical_layout_name(): Get Hierarchical Layout Name
.get_required_colors_count(): Get Required Number of Colors for Node Color Variable
.get_temporal_period(): Helper function to determine temporal period from date
.get_text_color(): Get Text Color for Heatmap Cells
.is_pipeline_data(): Check if Data is Pipeline Result vs Pre-computed Transitions
.matrix_to_long(): Convert Matrix to Long Format for Heatmaps
.normalize_matrix(): Normalize Transition Matrix
.perform_clustering(): Perform Clustering with Specified Method (Internal)
.perform_density_test(): Perform Density Test
.prepare_clustering_data(): Prepare Data for Clustering (Internal)
.prepare_density_plot_data(): Prepare Density Plot Data
.process_with_consolidation(): Process Data with Consolidation
.reassign_small_clusters(): Reassign Small Clusters to Nearest Larger Cluster (Internal)
.select_clustering_features(): Select Clustering Features Based on Category (Internal)
.select_rdd_bandwidth(): Select RDD Bandwidth
.stratified_cluster_sample(): Stratified Sampling Preserving Cluster Proportions (Internal)
.stratified_sample(): Stratified Sampling to Preserve Variance Structure (Internal)
generate_g6r_demo_data(): Employment Transitions g6r Examples and Tutorials
get_standardized_employment_colors(): Get Standardized Employment Colors
get_survival_at_time(): Helper: Get Survival Probability at Specific Time
get_survival_at_time_optimized(): Optimized Helper: Get Survival Probability at Specific Time
`%||%`: Null-coalescing Operator
impact_rdd: Regression Discontinuity Design Functions
load_spatial_maps(): Load comuni and CPI spatial data
translate_trajectory_status(): Translate trajectory status labels
validate_animation_setup(): Validate Animation Setup
validate_integration_setup(): Validate Integration Setup
career_clustering: Career Trajectory Clustering and Segmentation
career_metrics: Career Evaluation: Generalized Career Trajectory Analysis
impact_estimation: Impact Evaluation: Causal Inference Estimation Methods
impact_evaluation: Impact Evaluation: Event Identification and Treatment Group Definition
impact_matching: Impact Evaluation: Control Group Identification and Matching
impact_metrics: Impact Evaluation: Pre/Post Event Metrics
impact_reporting: Impact Evaluation: Comprehensive Report Generation
impact_visualization: Impact Evaluation: Comprehensive Visualization Functions
survival_analysis: Survival Analysis for Contract Types
survival_visualization: Visualization Functions for Contract Survival Analysis
temporal_indicators: Temporal Employment Indicators: Quarterly and Monthly Employment Analysis
ggraph-transitions: Ggraph-Based Network Visualizations for Employment Transitions
theme-vecshift: Vecshift Theme System for Accessible Visualization
trajectory-analysis: Contract Trajectory Analysis
vecshift-plots-extensions: Vecshift Visualization Extensions and Utilities
vecshift-plots: Vecshift Visualization Functions for Employment Data Analysis
print(<balance_assessment>): Print method for balance assessment
print(<did_results>): Print method for DiD results
print(<longworkR_consolidation_summary>): Print method for longworkR consolidation summary
print(<longworkR_transitions_with_metrics>): Print method for transitions with metrics
print(<matching_diagnostics>): Print method for data quality diagnostics
print(<treatment_event_assessment>): Print method for treatment event assessment
aggregate_to_person_level(): Aggregate Event-Level Data to Person-Level for Matching