as.data.frame.grass_card: Coerce a grass_card to a tidy data.frame (panel; per_rater...

In grassr: Context-Conditioned Reporting for Binary Rater Reliability

Coerce a grass_card to a tidy data.frame (panel; per_rater appended on divergent)

Description

Returns the panel of observed coefficients with surface-position metadata as a data.frame. Each row carries the v0.7.1 panel columns (surface_percentile, band_lo / band_hi / band_open_low / band_open_high, q_hat, se_q_hat, clamped, reference_used, in_delta_hat), an is_primary flag, and the panel-level delta diagnostics recycled across rows (delta_hat implied-quality spread in pp, delta_percentile, delta_flag, and the matched-null cell matched_null_k / matched_null_N / matched_null_q). Percentiles are rounded to one decimal: the pooled percentile is computed on the thirteen calibrated quality levels and moves in steps between them at large N, so finer digits are not resolution. When the cross-coefficient flag is divergent and the per-rater latent-class table is populated, returns a list c(panel = ..., per_rater = ...) so tidy consumers can pivot the per-rater rows separately.

Usage

## S3 method for class 'grass_card'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

Arguments

x	A grass_card object.
row.names, optional	Standard as.data.frame arguments.
...	Unused.

Value

A data.frame (the panel) when x$per_rater is NULL or empty. When the divergent flag fires, returns a list with panel and per_rater data frames.

grassr documentation built on Sept. 22, 2026, 5:08 p.m.