Hi All ,
Can anybody tell me if there's any way to get the summarized anova
values.Now i will explain what i mean , when i say "*summarized*".

Below you can see the anova table of recmeanC1 with rest* all* i.e from
recmeanC2 to i15(predictors),as shown in table.











  Df     Sum Squares    Mean Square     F value    Significance [Pr(>F)]
recmeanC2    1 89.272 89.272 1.50E+34 < 2e-16 ***
recmeanC3    1 9.965 9.965 1.68E+33  < 2e-16 ***
recmeanC4    1 2.61 2.61 4.40E+32 < 2e-16 ***
i1           1 25.341 25.341 4.27E+33 < 2e-16 ***
i2           1 0.118 0.118 1.98E+31 < 2e-16 ***
i3           1 0.022 0.022 3.65E+30 < 2e-16 ***
i4           1 0.164 0.164 2.75E+31 < 2e-16 ***
i5           1 15.639 15.639 2.63E+33 < 2e-16 ***
i6           1 1.64E-34 1.64E-34 2.76E-02 0.86812
i7           1 1.72E-33 1.72E-33 2.89E-01 0.59112
i8           1 9.29E-34 9.29E-34 1.57E-01 0.69273
i9           1 6.38E-33 6.38E-33 1.07E+00 0.30092
i10          1 1.02E-32 1.02E-32 1.71E+00 0.19166
i12          1 2.25E-33 2.25E-33 3.80E-01 0.53831
i13          1 2.13E-32 2.13E-32 3.5885e+00 0.53831 0.53831
Regression 15 1.43E+02 9.54E+00 1.61E+33 < 2.2e-16
Residuals  276 1.64E-30 5.94E-33
Total 291 1.43E+02

Instead of the values in the rows from reacmeanC1 to i15...what i want is a
summarized value ,what the row named "*Regression*" shows.I do not get
anything like the row "Regression".I copied that to show that SPSS has way
to generate that.though "Residuals" row is generated in R just like SPSS.

I know the how to calculate a single summarized Df,Sum Sq,Mean Sq,F
value,Pr(>F) with these formulae:---
*That is instead of all the 15 rows from reacmeanC1 to i15 i want row
"Regresssion"*


Df                       Sum Sq                     Mean
Sq                    F value





 Regression Calculations sum of all the above dfs sum of all the above Sum
of Squares Sum of Squares/df Mean Square due to Regression/Mean Square due
to Residuals



But isn't there any function in R to get what i explained above in a much
easier way?

-- 
Thanks in advance
Moumita

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