Add col_binomial_unpack() for extracting vector or dataframe from col_binomial

[Copilot]

Adds a function to convert col_binomial objects into either a numeric vector (default) or a dataframe with configurable fields including confidence intervals.

Changes

• New function col_binomial_unpack(): Extracts data from col_binomial objects

  • Returns numeric vector of point estimates by default
  • Optional dataframe output with configurable fields
  • Default dataframe includes p, ci_lower, ci_upper
  • All fields available: n, N, population, ci_error, p, ci_lower, ci_upper, note

• Tests: 8 test cases covering vector output, dataframe output, custom fields, and error handling

• Documentation: Generated roxygen2 docs for col_binomial_unpack() and col_binomial_vec() (previously missing)

Usage

b_trials <- stats::rbinom(1000, 1, 0.5)
result <- col_binomial(b_trials)

# Vector output (default)
col_binomial_unpack(result)
#> 0.523

# Dataframe with confidence intervals
col_binomial_unpack(result, output = "dataframe")
#> # A tibble: 1 × 3
#>       p ci_lower ci_upper
#>   <dbl>    <dbl>    <dbl>
#> 1 0.523    0.493    0.554

# Custom fields
col_binomial_unpack(result, output = "dataframe", fields = c("p", "n", "N"))
#> # A tibble: 1 × 3
#>       p     n     N
#>   <dbl> <int> <int>
#> 1 0.523   523  1000

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Original prompt

Pull request: https://github.com/socialresearchcentre/projectable/pull/34/files

Add a function that takes the output of col_binomial and converts it into either a vector, or a dataframe depending on what the user requests (i.e. they could request confidence intervals as well using prj_shadow)

The default output should be a vector

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