STEYX - chart function
STEYX() returns the
aggregated standard error when predicting
Syntax:
STEYX([{SetExpression}] [DISTINCT] [TOTAL [<fld{, fld}>]] y_value, x_value)
Return data type: numeric
Arguments:
| Argument | Description |
|---|---|
| y_value | The expression or field containing the range of known |
| x_value | The expression or field containing the range of known |
| SetExpression | By default, the aggregation function will aggregate over the set of possible records defined by the selection. An alternative set of records can be defined by a set analysis expression. |
| DISTINCT | If the word DISTINCT occurs before the function arguments, duplicates resulting from the evaluation of the function arguments are disregarded. |
| TOTAL |
If the word TOTAL occurs before the function arguments, the calculation is made over all possible values given the current selections, and not just those that pertain to the current dimensional value, that is, it disregards the chart dimensions. The TOTAL qualifier may be followed by a list of one or more field names within
angle brackets |
Limitations:
The expression must not contain aggregation functions, unless these inner aggregations contain the TOTAL qualifier. For more advanced nested aggregations, use the advanced aggregation function Aggr, in combination with calculated dimensions.
Text values,
Examples and results:
Add the example script to your app and run it. Then build a straight table with KnownY and KnownX as dimension and Steyx(KnownY,KnownX) as measure.
Totals should be enabled in the properties of the table.
| Example | Result |
|---|---|
|
Trend: LOAD * inline [ Month|KnownY|KnownX Jan|2|6 Feb|3|5 Mar|9|11 Apr|6|7 May|8|5 Jun|7|4 Jul|5|5 Aug|10|8 Sep|9|10 Oct|12|14 Nov|15|17 Dec|14|16 ] (delimiter is '|'); |
The result of the |
