MarkLogic 9 Product Documentation
cts.variance

cts.variance(
   range-index as cts.reference,
   [options as String[]],
   [query as cts.query?],
   [forest-ids as (Number|String)[]]
) as Number?

Summary

Returns a frequency-weighted sample variance given a value lexicon. This function works like math:variance except each item in the lexicon is counted cts:frequency times. This function performs the calculation in parallel in all data nodes then aggregates the values. The function returns the empty sequence if the lexicon contains no value.

Parameters
range-index	Reference to a range index. The type of the range index must be numeric.
options	Same as the "options" parameter in `cts:aggregate`.
query	Same as the "query" parameter in `cts:aggregate`.
forest-ids	Same as the "forest-ids" parameter in `cts:aggregate`.

Example

//   This query assumes an int range index
//   is configured in the database. It
//   generates some sample data and then
//   performs the aggregation in a separate
//   transaction.

declareUpdate();

for (x=1; x<11; x++) {
  const o = new Object();
  o.int = [];
  for (y=x; y<11; y++) {
    o.int.push(y);
  };
  xdmp.documentInsert((x + ".json"), o);
};

*******
// Then run the following (requires int range index on int):

const item = cts.variance(
  cts.jsonPropertyReference("int","type=int"),
    ["item-frequency","concurrent"]);
const frag = cts.variance(
  cts.jsonPropertyReference("int","type=int"),
    ["fragment-frequency","concurrent"]);
const res = new Array();
res.push(item);
res.push(frag);
res;
=>
[6.11111111111111, 6.11111111111111]

MarkLogic 9 Product Documentationcts.variance

Summary

Example

MarkLogic 9 Product Documentation
cts.variance