aggregate a reported quantity by groups

This function takes a quantity and aggregates it by groups, using the design weights.

report.aggregator_(
  resp.data,
  attribute.names,
  qoi,
  weights,
  qoi.name,
  scaling.factor = NULL,
  dropmiss = FALSE
)

report.aggregator(
  resp.data,
  attribute.names = NULL,
  qoi,
  weights,
  qoi.name = NULL,
  scaling.factor = NULL,
  dropmiss = FALSE
)

Arguments

resp.data	the data
attribute.names	the names of the variables that define the groups for which the qoi should be aggregated
qoi	the variable with quantity to aggregate
weights	analysis weights; either the name of a column that has sampling weights or a vector with the names of columns of the dataset that have bootstrap weights. Currently, these weights must be named "boot_weight_1", "boot_weight_2", ...
qoi.name	the name of the qoi
scaling.factor	a factor by which weights should be multiplied before applying them. Defaults to NULL (no scaling)
dropmiss	if TRUE, then drop missing values and rescale the weights to preserve their total. So, if weights sum to 100, and dropping rows with missing values leads to weights that sum to 80, then the remaining rows will have their weights multiplied by (100/80) to ensure the weights still add up to 100 after dropping the rows with missing values. Defaults to FALSE
TODO	TODO

Value

the aggregated reported quantities