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Validate frozen directed judgments for an adaptive panel

Source: R/adaptive_replay.R
validate_adaptive_replay.Rd

Validate one primary observation per ordered pair. No rows are dropped or reordered; optional metadata columns are retained and do not determine lookup. Subset to one panel and one primary judgment layer before validation.

Usage

validate_adaptive_replay(outcomes, item_ids, complete = TRUE)

Arguments

outcomes

Data frame with character A_id, character B_id, and binary Y (one means presented A wins). Y accepts logical, numeric zero/one, or character "0"/"1"; factors, missing values, and other values are rejected.

item_ids

Unique non-blank character IDs for the active panel, with at least two items. IDs must match the adaptive state's item IDs.

complete

Logical; require all N * (N - 1) ordered pairs, including both orientations of every unordered pair. Default TRUE. FALSE permits a partial table; requests for absent orientations still fail during replay.

Value

A tibble retaining the input rows and metadata, with integer Y.

See also

make_adaptive_judge_replay()

Other adaptive ranking: adaptive_rank(), adaptive_rank_resume(), adaptive_rank_run_live(), adaptive_rank_start(), make_adaptive_judge_llm(), make_adaptive_judge_replay(), make_adaptive_replay_reservoir(), summarize_adaptive()

Examples

outcomes <- data.frame(A_id = c("a", "b"), B_id = c("b", "a"), Y = c(1L, 1L))
validate_adaptive_replay(outcomes, item_ids = c("a", "b"))
#> # A tibble: 2 × 3
#>   A_id  B_id      Y
#>   <chr> <chr> <int>
#> 1 a     b         1
#> 2 b     a         1