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QlikView Reference Manual.pdf - QlikCommunity - QlikView

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value can be counted one or more times according to a corresponding weight value in weight. If eq_var is<br />

specified as false, separate variances of the two samples will be assumed, else equal variances between the<br />

samples will be assumed. Text values, null values and missing values in value will result in the function<br />

returning null.<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 />

TTestw_t( Weight, Group, Value )<br />

TTestw_t( Weight, Group, Value, false )<br />

TTestw_df ([set_expression][ total [] weight, group,<br />

value [, eq_var = true])<br />

returns the aggregated student's t-test df value (degrees of freedom) for two independent series of values iterated<br />

over the chart dimension(s). See the TTestw_t ([set_expression][ total [] weight, group,<br />

value [, eq_var = true]) (page 788) 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 />

Examples:<br />

TTestw_df( Weight, Group, Value )<br />

TTestw_df( Weight, Group, Value, false )<br />

TTestw_sig ([set_expression][ total [] weight, group,<br />

value [, eq_var = true])<br />

returns the aggregated student's t-test 2-tailed level of significance for two independent series of values iterated<br />

over the chart dimension(s). See the TTestw_t ([set_expression][ total [] weight, group,<br />

value [, eq_var = true]) (page 788) 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 />

Examples:<br />

TTestw_sig( Weight, Group, Value )<br />

TTestw_sig( Weight, Group, Value, false )<br />

TTestw_dif ([set_expression][ total [] weight, group,<br />

value [, eq_var = true])<br />

returns the aggregated student's t-test mean difference for two independent series of values iterated over the<br />

chart dimension(s). See the TTestw_t ([set_expression][ total [] weight, group, value [, eq_var =<br />

true]) (page 788) 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 />

Examples:<br />

789

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