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QlikView Reference Manual.pdf - QlikCommunity - QlikView

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The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Example:<br />

ztestw_sig( Weight, Value-TestValue)<br />

ZTestw_dif ([set_expression][ total []] weight, value<br />

[, sigma])<br />

returns the aggregated z-test mean difference for a series of values iterated over the chart dimension(s). See<br />

the ZTestw_z ([set_expression][ total [] weight, value [, sigma]) (page 796) function for argument<br />

descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Example:<br />

ztestw_dif( Weight, Value-TestValue)<br />

ZTestw_sterr ([set_expression][ total [] weight, value<br />

[, sigma])<br />

returns the aggregated z-test standard error of the mean difference for a series of values iterated over the chart<br />

dimension(s). See the ZTestw_z ([set_expression][ total [] weight, value [, sigma]) (page 796)<br />

function for argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Example:<br />

ztestw_sterr( Weight, Value-TestValue)<br />

ZTestw_conf ([set_expression][ total []] weight, value<br />

[, sigma [, sig = 0.025 ] ])<br />

returns the aggregated z value for a series of values iterated over the chart dimension(s). The two-tailed level<br />

of significance can be specified in sig. If omitted sig will be set to 0.025, resulting in a 95% confidence interval.<br />

See the ZTestw_z ([set_expression][ total [] weight, value [, sigma]) (page 796) function<br />

for descriptions of the other arguments.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ztestw_conf( Weight, Value-TestValue)<br />

Special Input Field Aggregation Functions<br />

There are some special aggregation functions for input fields:<br />

inputsum (inputfield[, distribution_mode][set_expression]) (page 798)<br />

inputavg(inputfield [, distribution_mode][set_expression]) (page 798)<br />

797

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