QlikView Reference Manual.pdf - QlikCommunity - QlikView

eturns the aggregated value for the upper end of the confidence interval for a series of values iterated over
the chart dimension(s). See the TTest1_t ([set_expression][ total [] value) (page 791) and
TTest1_conf ([set_expression][ total [] value [, sig = 0.025 ]) (page 792) functions for argument
descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
ttest1_upper( Value )
ttest1_upper( Value, 0.005 )
The following eight functions apply to one-sample student's t-tests where the input data series is given in
weighted two-column format.
TTest1w_t ([set_expression][ total [] weight, value)
returns the aggregated t value for a series of values iterated over the chart dimension(s). The values should be
returned by value. Each value in value can be counted one or more times according to a corresponding
weight value in weight. Text values, null values and missing values in value will result in the function
returning null.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Example:
ttest1w_t( Weight, Value )
TTest1w_df ([set_expression][ total [] weight, value)
returns the aggregated student's t-test df value (degrees of freedom) for a series of values iterated over the
chart dimension(s). See the TTest1w_t ([set_expression][ total [] weight, value) (page 793) function
for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
ttest1w_df( Weight, Value )
TTest1w_sig ([set_expression][ total [] weight, value)
returns the aggregated student's t-test 2-tailed level of significance for a series of values iterated over the
chart dimension(s). See the TTest1w_t ([set_expression][ total [] weight, value) (page 793) function
for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
ttest1w_sig( Weight, Value )
TTest1w_dif ([set_expression][ total [] weight, value)
793