auto_summarise: Summarise with automatic codebook registration

In autocodebook: Automatic Codebook and Tracking for 'Spark' and 'dplyr' Pipelines

Summarise with automatic codebook registration

Description

Works exactly like dplyr::summarise(), but also captures each expression and registers the resulting variable in the codebook.

Usage

auto_summarise(.data, labels = list(), block = "", ..., .groups = "drop")

Arguments

.data	A Spark DataFrame (tbl_spark) or local data frame.
labels	Named list mapping variable names to labels (descriptions). Variables not in this list get their own name as label.
block	Optional character label for the pipeline block/section (e.g. "Demographic variables"). Groups variables in the codebook.
...	Named expressions, same syntax as dplyr::mutate().
.groups	Grouping behavior after summarise. Default: "drop".

Value

The summarised data frame.

autocodebook documentation built on June 9, 2026, 1:09 a.m.