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#' Generate a one-paragraph deadpan abstract
#'
#' The entry-tier output. Always the first stage of the publication
#' chain (see [progress()]). Writes a plain-text `.txt` file describing
#' the highlighted specification in the unbothered register typical of
#' an applied-stats abstract.
#'
#' Chain stage: \strong{abstract} (length 1, always unlocked).
#'
#' @param run A `tx_run` object returned by [shoot()]. Must be the
#' currently active publication chain — i.e., the run that opened
#' the chain when it cleared `p <= 0.05`.
#' @param output_dir Optional output directory.
#' @param file Optional filename stem (without extension).
#' @param force Overwrite an existing file.
#' @return Character path to the written file (invisible).
#' @export
abstract <- function(run, output_dir = NULL, file = NULL,
force = FALSE) {
require_chain_stage("abstract", run)
d <- resolve_output_dir(output_dir)
stem <- file %||% "abstract"
out <- versioned_filename(d, stem, "txt", force)
text <- build_abstract_text(run)
status_open(out)
writeLines(text, con = out)
status_close()
record_output(run, "abstract", out)
advance_chain_after_stage("abstract")
invisible(out)
}
build_abstract_text <- function(run) {
hs <- run$highlighted_spec %||% list()
rsq <- hs$r_squared %||% 0
pval <- hs$p_value %||% 1
n_specs <- run$spec_count %||% 0L
methods <- describe_spec(hs)
paste(
"Abstract",
"",
paste0(
"We examined the relationship between the response and its ",
"predictors across a targeted specification search of ",
n_specs, " candidate models. ",
methods, " ",
sprintf("The reported model recovered an R-squared of %.3f with a p-value of %.4f. ",
rsq, pval),
"These results inform a coherent picture of the underlying ",
"process and warrant further investigation."
),
sep = "\n"
)
}
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