SAP HANA Predictive Analysis Library (PAL)

INSERT INTO PAL_UNIVARSTAT_PDATA_TBL VALUES (1,'DM_PAL',
'PAL_UNIVARSTAT_DATA_T','IN');
INSERT INTO PAL_UNIVARSTAT_PDATA_TBL VALUES (2,'DM_PAL', 'PAL_CONTROL_T','IN');
INSERT INTO PAL_UNIVARSTAT_PDATA_TBL VALUES (3,'DM_PAL',
'PAL_UNIVARSTAT_RESULT_T','OUT');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_UNIVARIATESTAT_PROC');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'UNIVARSTAT', 'DM_PAL',
'PAL_UNIVARIATESTAT_PROC', PAL_UNIVARSTAT_PDATA_TBL);
DROP TABLE PAL_UNIVARSTAT_DATA_TBL;
CREATE COLUMN TABLE PAL_UNIVARSTAT_DATA_TBL LIKE PAL_UNIVARSTAT_DATA_T;
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (1,2.4);
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (5,3.5);
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (3,8.9);
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (10,-1.4);
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (-4,-3.5);
INSERT INTO PAL_UNIVARSTAT_DATA_TBL VALUES (11,32.8);
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL(
"NAME" VARCHAR (50),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR (100)
);
INSERT INTO #PAL_CONTROL_TBL VALUES ('SKEWNESS_TYPE',2,null,null); --default
value is 1, it can be {0,1,2}
INSERT INTO #PAL_CONTROL_TBL VALUES ('KURTOSIS_TYPE',2,null,null); --default
value is 1, it can be {0,1,2}
INSERT INTO #PAL_CONTROL_TBL VALUES ('DATASET_TYPE',0,null,null); --default
value is 0, it can be {0,1}
DROP TABLE PAL_UNIVARSTAT_RESULT_TBL;
CREATE COLUMN TABLE PAL_UNIVARSTAT_RESULT_TBL LIKE PAL_UNIVARSTAT_RESULT_T;
CALL DM_PAL.PAL_UNIVARIATESTAT_PROC(PAL_UNIVARSTAT_DATA_TBL, #PAL_CONTROL_TBL,
PAL_UNIVARSTAT_RESULT_TBL) WITH OVERVIEW;
SELECT * FROM PAL_UNIVARSTAT_RESULT_TBL;
Expected Result
3.7.10 Variance Equal Test
This function is used to test the equality of two random variances using F-test. The null hypothesis is that two
independent normal variances are equal. The observed sums of some selected squares are then examined to
see whether their ratio is significantly incompatible with this null hypothesis.
Let x 1 , x 2 , ..., x n and y 1 , y 2 , ..., y n be independent and identically distributed samples from two
populations.
536 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions