In the multiple-input version, the mean and standard deviation statistics are applied globally with meanstats and the stdevstats tables, respectively.
Input
- input: financial_data3, as in VARMAX Example 1: No Exogenous Model
SQL Call
The statistics are created from a query on the input table finance_data3 and grouped by column id.
SELECT * FROM SAX ( ON finance_data3 AS "input" PARTITION BY id ORDER BY id ON (SELECT id, AVG (expenditure) AS expenditure, AVG (income) AS income, AVG (investment) AS investment FROM finance_data3 GROUP BY id ) AS meanstats PARTITION BY id ON (SELECT id, STDDEV_SAMP (expenditure) AS expenditure, STDDEV_SAMP (income) AS income, STDDEV_SAMP (investment) AS investment FROM finance_data3 GROUP BY id ) AS stdevstats PARTITION BY id USING TargetColumns ('expenditure', 'income', 'investment') TimeColumn ('period') WindowType ('global') OutputStats ('true') Accumulate ('id') ) AS dt ORDER BY id;
Output
id | period_start | period_end | expenditure_saxcode | expenditure_mean | expenditure_stdev | income_saxcode | income_mean | income_stdev | investment_saxcode | investment_mean | investment_stdev |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1960Q1 | 1969Q4 | 61616161626262626262626262626262626262626262626262626262626262636363636364646464 | 714.2 | 385.0403375472 | 61616161626262626262626262626262626262626262626262626262626262636363636364646464 | 811.2 | 449.682520486142 | 61616161616161626262626261626262626262626263636363636363626262636262636364646464 | 301 | 130.70871903117 |
2 | 1970Q1 | 1979Q4 | 64646464646464646161616161616161616161616262626262626262626262636363636363636364 | 1355.6 | 404.842280147308 | 64646464646464646161616161616161616161616262626262626262626263636363636363636363 | 1589.275 | 470.779059045639 | 64646464646464646161616161616161626262626262626263626262636262626262626262636363 | 556.675 | 142.199821035626 |
3 | 1980Q1 | 1982Q4 | 616161616363636464646464 | 2045.16666666667 | 256.612489362793 | 616161616363636464646464 | 2387.41666666667 | 317.496587908175 | 616161616364646363636363 | 759.083333333333 | 113.352594174375 |