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Hi All.
As i am regular user for Base SAS,SQL and Macros but i did't come across to Statistical procedures.
Today my client came up with me a report ,in that i need to show some statistical columns which are LS MEANS ,95%CI and p-value.
CLient requirement looks likes bellow..
Actlevel | N | mean | SD | LS MEAN | 95 % CI | p-value |
---|---|---|---|---|---|---|
HIGH | xx | xx.x | xx.xx | xxx.xx | (xx.xx,xx.xx) | x.xxxx |
LOW | xx | xx.x | xx.xx | xxx.xx | (xx.xx,xx.xx) | x.xxxx |
MOD | xx | xx.x | xx.xx | xxx.xx | (xx.xx,xx.xx) | x.xxxx |
Could you please provide sample code to get above statistics as i dod't have much time to go through the statistical procedures.
please use SASUSER.ADMIT dataset to generate above table then i can adopt that code for my original dataset.
Any help you can give would be greatly appreciated
Note :
Confidence Interval from the ANCOVA model.
$=p-Value from the ANCOVA model.
Thanks &Regards.
Sanjeev.K
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Hi.
I don't have access to sasuser.admit;
so,I used sashelp.class (which is not suitable for what you want, but it will give you an idea);
proc glm data = sashelp.class;
class sex; *need to put your group variable in the class statement
model age = sex;
lsmeans sex/stderr cl;
run;quit;
Good luck!
Anca.
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Hi Anca ..
thank you so much for your rply..
here i am attaching Admit Dataset. Could you please try on this.
and i have few quires on your provided solution..
>Is this values based on ANCOVA model ???
>Is this possible to get output dataset with these values ???
once again thank you for your response ..
Regards.
Sanjeev.K
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So, here is for example one link that shows ANCOVA analysis with SAS:
http://www.stat.sc.edu/~hitchcock/crackersasexample.txt
and this one:
SAS/STAT(R) 9.2 User's Guide, Second Edition
What I need to know from you is what is your X (independent variable) and what is your Y (dependent variable)? I assume that your X is the ActLevel (as per the sasuser.admit data set).
But what is the Y?
What I mean is that you need to set up a (simple) model where the group variable is your X and you need a Y so you can conclude if there are differences in Y between the X's groups.
Anyway....
Yes, there are ways to output the results by using either ods statement or the output out...
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Hi ,
I am facing the same problem can you please share code with me