Oracle PL/SQL Tutorial/Linear Regression Functions/STATS ONE WAY ANOVA — различия между версиями

Текущая версия на 10:06, 26 мая 2010

Содержание

1 For between degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_BETWEEN")
2 For between sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2,"SUM_SQUARES_BETWEEN")
3 For F statistic: STATS_ONE_WAY_ANOVA(expr1, expr2, "F_RATIO")
4 For mean square (MS) between: STATS_ONE_WAY_ANOVA(expr1, expr2, "MEAN_SQUARES_BETWEEN")
5 For mean square (MS) within: STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")
6 For significance level: STATS_ONE_WAY_ANOVA(expr1, expr2, "SIG")
7 For within degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_WITHIN")
8 For within sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")

For between degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_BETWEEN")

SQL>
SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "DF_BETWEEN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"DF_BETWEEN")
------------------------------------------
                                        16
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For between sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2,"SUM_SQUARES_BETWEEN")

STATS_ONE_WAY_ANOVA tests the equality of several means.

The test statistics is based on F statistic.

SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "SUM_SQUARES_BETWEEN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"SUM_SQUARES_BETWEEN")
---------------------------------------------------
                                         2557882.91
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For F statistic: STATS_ONE_WAY_ANOVA(expr1, expr2, "F_RATIO")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "F_RATIO") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"F_RATIO")
---------------------------------------

SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For mean square (MS) between: STATS_ONE_WAY_ANOVA(expr1, expr2, "MEAN_SQUARES_BETWEEN")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "MEAN_SQUARES_BETWEEN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"MEAN_SQUARES_BETWEEN")
----------------------------------------------------
                                          159867.682
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For mean square (MS) within: STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "SUM_SQUARES_WITHIN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"SUM_SQUARES_WITHIN")
--------------------------------------------------

SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For significance level: STATS_ONE_WAY_ANOVA(expr1, expr2, "SIG")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "SIG") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"SIG")
-----------------------------------

SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For within degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_WITHIN")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "DF_WITHIN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"DF_WITHIN")
-----------------------------------------
                                        0
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

For within sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")

SQL>
SQL>
SQL> -- create demo table
SQL> create table myTable(
  2    id           NUMBER(2),
  3    value        NUMBER(6,2)
  4  )
  5  /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID,  value)values (1,9);
1 row created.
SQL> insert into myTable(ID,  value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID,  value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID,  value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID,  value)values (5,10);
1 row created.
SQL> insert into myTable(ID,  value)values (6,3);
1 row created.
SQL> insert into myTable(ID,  value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID,  value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID,  value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID,  value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID,  value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID,  value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID,  value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID,  value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID,  value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID,  value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID,  value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
  2  /
        ID      VALUE
---------- ----------
         1          9
         2       2.11
         3       3.44
         4      -4.21
         5         10
         6          3
         7      -5.88
         8     123.45
         9      98.23
        10     938.23
        11     984.23
        ID      VALUE
---------- ----------
        12     198.23
        13     928.87
        14      25.37
        15      918.3
        16       9.23
        17       8.23
17 rows selected.
SQL>
SQL>
SQL> SELECT STATS_ONE_WAY_ANOVA(id, value, "SUM_SQUARES_WITHIN") FROM myTable;
STATS_ONE_WAY_ANOVA(ID,VALUE,"SUM_SQUARES_WITHIN")
--------------------------------------------------

SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table myTable
  2  /
Table dropped.

Oracle PL/SQL Tutorial/Linear Regression Functions/STATS ONE WAY ANOVA — различия между версиями

Текущая версия на 10:06, 26 мая 2010

Содержание

For between degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_BETWEEN")

For between sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2,"SUM_SQUARES_BETWEEN")

For F statistic: STATS_ONE_WAY_ANOVA(expr1, expr2, "F_RATIO")

For mean square (MS) between: STATS_ONE_WAY_ANOVA(expr1, expr2, "MEAN_SQUARES_BETWEEN")

For mean square (MS) within: STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")

For significance level: STATS_ONE_WAY_ANOVA(expr1, expr2, "SIG")

For within degrees of freedom (DF): STATS_ONE_WAY_ANOVA(expr1, expr2, "DF_WITHIN")

For within sum of squares (SS): STATS_ONE_WAY_ANOVA(expr1, expr2, "SUM_SQUARES_WITHIN")

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