Hi All,
I am using the following SAS to code to compute the variance components of four categorical variables. I need to compute the R2 of the model. Can I directly use the Sum Squares Error and Sum Squares Total given in the output or should I be using a different technique?
proc sort data=ANOVATEST;
by Y I_Code C_name S_C;
proc nested data=Anovatest;
class Y I_Code C_name S_C;
var S_RA;
run;
quit;
In the above, S_RA is a continuous variable and Y represents year, I_Code C_name S_C are categorical variables representing effects.
Variance Source | DF | Sum of Squares |
Total | 23436 | 8120.03 |
Y | 11 | 11.704 |
I_Code | 785 | 626.329 |
C_Name | 18735 | 6542.12 |
S_C | 3532 | 893.299 |
Error | 373 | 46.5771 |
Thanks in advance for your time.
Without testing, R^2 = (TSS - ESS)/TSS. Explained variation over total variation.
Steve Denham
Without testing, R^2 = (TSS - ESS)/TSS. Explained variation over total variation.
Steve Denham
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