Create Publication-Ready Impact Summary Tables — create_impact_summary

Generates professional summary tables for impact evaluation results including treatment effects, standard errors, confidence intervals, and statistical significance indicators. Tables are formatted for publication and can be exported in multiple formats.

Usage

create_impact_summary_table(
  analysis_results,
  table_type = "main_results",
  significance_levels = c(0.01, 0.05, 0.1),
  round_digits = 3,
  include_ci = TRUE,
  ci_level = 0.95,
  include_sample_sizes = TRUE,
  table_style = "academic",
  variable_labels = NULL,
  footer_text = NULL,
  caption = NULL
)

Arguments

analysis_results: List. Complete analysis results from impact evaluation
table_type: Character. Type of summary table: "main_results", "robustness", "balance", "descriptive", "all". Default: "main_results"
significance_levels: Numeric vector. Significance levels for indicators. Default: c(0.01, 0.05, 0.10)
round_digits: Integer. Number of decimal places for rounding. Default: 3
include_ci: Logical. Include confidence intervals. Default: TRUE
ci_level: Numeric. Confidence interval level. Default: 0.95
include_sample_sizes: Logical. Include sample size information. Default: TRUE
table_style: Character. Table styling: "academic", "policy", "minimal". Default: "academic"
variable_labels: List. Custom variable labels for display. Default: NULL
footer_text: Character. Custom footer text. Default: NULL
caption: Character. Table caption. Default: auto-generated

Value

A list containing formatted tables (data.table objects) and metadata

Examples

if (FALSE) { # \dontrun{
# Generate main results table
main_table <- create_impact_summary_table(
  analysis_results = results,
  table_type = "main_results",
  significance_levels = c(0.01, 0.05, 0.10)
)

# Generate all summary tables
all_tables <- create_impact_summary_table(
  analysis_results = results,
  table_type = "all",
  table_style = "policy"
)
} # }