Good Evening my SAS friends:
Here i am to get some help about constructing the significance difference ussing LS_MEANS means comparison matrix, weel i have an example to solve (with your help):
Here is the significance LS MEANS matrix :
i/j | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
1 | 1.0000 | 0.7619 | 0.2159 | 1.0000 | 1.0000 | 0.6868 | 0.1134 | 1.0000 | 1.0000 | 0.6291 | 0.0288 | |
2 | 1.0000 | 0.8421 | 0.1318 | 1.0000 | 1.0000 | 0.7926 | 0.1631 | 0.9998 | 1.0000 | 0.7434 | 0.0442 | |
3 | 0.7619 | 0.8421 | 0.0002 | 0.1632 | 0.7513 | 1.0000 | 0.9999 | 0.0840 | 0.5783 | 1.0000 | 0.9929 | |
4 | 0.2159 | 0.1318 | 0.0002 | 0.0630 | 0.0037 | <.0001 | <.0001 | 0.0843 | 0.0053 | <.0001 | <.0001 | |
5 | 1.0000 | 1.0000 | 0.1632 | 0.0630 | 0.9658 | 0.0070 | <.0001 | 1.0000 | 0.9915 | 0.0017 | <.0001 | |
6 | 1.0000 | 1.0000 | 0.7513 | 0.0037 | 0.9658 | 0.4299 | 0.0058 | 0.8339 | 1.0000 | 0.2921 | 0.0002 | |
7 | 0.6868 | 0.7926 | 1.0000 | <.0001 | 0.0070 | 0.4299 | 0.9337 | 0.0008 | 0.1717 | 1.0000 | 0.5166 | |
8 | 0.1134 | 0.1631 | 0.9999 | <.0001 | <.0001 | 0.0058 | 0.9337 | <.0001 | 0.0006 | 0.9121 | 1.0000 | |
9 | 1.0000 | 0.9998 | 0.0840 | 0.0843 | 1.0000 | 0.8339 | 0.0008 | <.0001 | 0.9205 | 0.0001 | <.0001 | |
10 | 1.0000 | 1.0000 | 0.5783 | 0.0053 | 0.9915 | 1.0000 | 0.1717 | 0.0006 | 0.9205 | 0.0828 | <.0001 | |
11 | 0.6291 | 0.7434 | 1.0000 | <.0001 | 0.0017 | 0.2921 | 1.0000 | 0.9121 | 0.0001 | 0.0828 | 0.4230 | |
12 | 0.0288 | 0.0442 | 0.9929 | <.0001 | <.0001 | 0.0002 | 0.5166 | 1.0000 | <.0001 | <.0001 | 0.4230 |
|
Following this table, arriving to the conclussion i arrives to this result:
1 -> bcde
2 -> bcde
3 -> abcd
4 -> e
5 -> cde
6 -> bcd
7 -> ab
8 -> c
9 -> de
10 -> bcd
11 -> ab
12 -> a
Well my friends, i made this manually...and for this case i would like to know if there is any command line to get this kind of results atumatically. to obtain this type of result:
EXAMPLE
Tukey Grouping Mean N Treatment
A 192.58 9 1
A
B A 183.69 9 2
B A
B A 161.21 9 3
B A
B A 156.47 9 4
B A
B A 147.69 9 5
B A
B A 142.30 9 6
B A
B A 142.30 9 7
B A
B A 142.30 9 8
B A
B A 142.30 9 9
B A
B A 142.30 9 10
B A
B A 142.30 9 11
B
B 128.63 9 12
Switch from GLM to GLIMMIX (you will need to learn some sytax), and use LINES option on the LSMEANS statement. Works great.
LSMEANS treatment / diff LINES;
Switch from GLM to GLIMMIX (you will need to learn some sytax), and use LINES option on the LSMEANS statement. Works great.
LSMEANS treatment / diff LINES;
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