Supported aggregation rules — SCALE

Each rule defines behaviour in both directions. Direction is taken from the frame ranks, so aggregation and disaggregation are one operation:

SCALE_RULES

Format

A character vector of length 7.

sum: Up: sum. Down: split proportionally to the weight. For extensive quantities (capacity, demand, area, population).
weighted_mean: Up: weight-weighted mean. Down: copy unchanged. For intensive quantities (efficiency, price, capacity factor).
mean: Up: unweighted mean. Down: copy unchanged.
copy: Up: the common value, erroring if it is not constant. Down: copy unchanged. For scale-invariant scalars.
sd: Up: standard deviation over the atoms (aggregation only; going down it degenerates to NA for single-atom groups).
share: Share within parent: each source unit's value divided by the total over its parent group. Unlike every other rule the result stays keyed at the source frame – the recast target (or parent=) names the parent – so it cannot be mixed with other rules in one call (the two share rules mix freely, being one computation). For building distribution keys and normalised profiles; requires from to nest within the parent.
logshare: The same computation as share – the values ARE shares – but figures draw it on a fixed log10 percent scale (0.01%..100%), where share gets a fixed linear 0..1 scale.

SCALE_RULES
#> [1] "sum"           "weighted_mean" "mean"          "copy"         
#> [5] "sd"            "share"         "logshare"