Aggregate Responses — aggregate

Aggregate response-level data to group-level. Performs three types of aggregation (sum, mean, distinct) and joins them. Auto-detects standard pipeline columns by pattern; user can add extra columns via parameters.

Usage

aggregate_responses(
  data,
  group_cols = c("Synonym.GroupX", "Group", "Level"),
  sum_cols = NULL,
  mean_cols = NULL,
  distinct_cols = NULL,
  extra_sum_cols = NULL,
  extra_mean_cols = NULL,
  extra_distinct_cols = NULL,
  create_noNA = FALSE,
  verbose = TRUE
)

Arguments

data: The full long-format data.frame from the pipeline
group_cols: Character vector of grouping columns (default c("Synonym.GroupX", "Group", "Level"))
sum_cols: Columns to sum-aggregate. If NULL, auto-detects prevalence and NoMatch columns (plus traditional)
mean_cols: Columns to mean-aggregate. If NULL, auto-detects standard patterns
distinct_cols: Columns to preserve by distinct. If NULL, auto-detects Warning columns
extra_sum_cols: Additional columns to include in sum aggregation
extra_mean_cols: Additional columns to include in mean aggregation
extra_distinct_cols: Additional columns to include in distinct aggregation
create_noNA: Deprecated. Ignored; no extra noNA columns are created.
verbose: Print progress? (default TRUE)

Value

A data.frame with one row per unique combination of group_cols