Aggregate individual features to individual level — get_individual_aggregated

Takes raw trait measurements and aggregates them by individual, handling multiple census and multiple values appropriately. Uses data.table for optimal performance on large datasets.

Usage

get_individual_aggregated_features(
  individual_ids = NULL,
  trait_ids = NULL,
  plot_ids = NULL,
  include_multi_census = FALSE,
  issues = c("remove", "include", "ignore"),
  aggregation_mode = c("auto", "mean", "last", "mode", "concat"),
  include_measurement_ids = FALSE,
  census_strategy = c("last", "first", "mean"),
  con = NULL
)

Arguments

individual_ids: Vector of individual IDs
trait_ids: Vector of trait IDs to extract (optional)
plot_ids: Vector of plot IDs (optional, for filtering)
include_multi_census: Include census-specific values
issues: Character. How to handle flagged measurements: "remove" (default, drop flagged rows), "include" (keep rows and add issue column), or "ignore" (keep rows, no issue column).
aggregation_mode: How to aggregate: "mean", "last", "mode", "concat"
include_measurement_ids: Include aggregated id_trait_measures column (default FALSE)
con: Database connection

Value

Tibble with one row per individual and aggregated feature values