QlikView Reference Manual.pdf - QlikCommunity - QlikView

Expression must not contain aggregation functions, unless these inner aggregations contain the total qualifier.
For more advanced nested aggregations, please use the Advanced Aggregation (page 289) function in
combination with calculated dimensions, see Add calculated dimension... (page 602).
If the word distinct occurs before the function arguments, duplicates resulting from the evaluation of the function
arguments will be disregarded.
If the word total occurs before the function arguments the calculation will be made over all possible values
given the current selections but disregarding the chart dimension variables.
The total qualifier may be followed by a list of one or more field names within angle brackets. These field
names should be a subset of the chart dimension variables. In this case the calculation will be made disregarding
all chart dimension variables except those listed, i.e. one value will be returned for each combination
of field values in the listed dimension fields. Also fields which are not currently a dimension in a
chart may be included in the list. This may be useful in the case of group dimensions, where the dimension
fields are not fixed. Listing all of the variables in the group causes the function to work when the cycle or
drill-down level changes.
Examples:
avg(Sales)
avg(X'Y/3)
avg(distinct Price)
avg(total Sales)
avg({1} total Sales)
sterr ([{set_expression}] [ distinct ][ total [] ]
expression )
returns the aggregated standard error (stdev/sqrt(n)) for a series of values represented by expression iterated
over the chart dimension(s). Text values, null values and missing values will be disregarded.
This function has the same limitations for nested aggregation as the avg([{set_expression}] [ distinct ] [
total []] expression) (page 774) function. The sterr function supports Set Analysis (page 799)
and the total qualifier in the same way as the avg([{set_expression}] [ distinct ] [ total []]
expression) (page 774)function.
Examples:
sterr( X )
sterr( X*Y/3 )
sterr( total X ) >
sterr( total X)
steyx ([{set_expression}][ distinct ] [ total [] ] yexpression,
x-expression)
returns the aggregated standard error of the predicted y-value for each x-value in the regression for a series of
coordinates represented by paired numbers in y-expression and x-expression iterated over the chart dimension(s).
Text values, null values and missing values in any or both pieces of a data-pair will result in the
entire data-pair to be disregarded.
This function has the same limitations for nested aggregation as the avg([{set_expression}] [ distinct ] [
total []] expression) (page 774) function. The steyx function supports Set Analysis (page
799) and the total qualifier in the same way as the avg([{set_expression}] [ distinct ] [ total []] expression) (page 774)function.
Examples:
steyx( Y, X )
775