Kum-Hoe,
You need to used the summary function. I hope the example below will
help you get the coefficeints:
myfit<-lm(y1~x1)
coefficients(summary(myfit))
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC and
University of Maryland School of Medicine Claude Pepper OAIC
University of Maryland School of Medicine
Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
410-605-7119
[EMAIL PROTECTED]
>>> "Kum-Hoe Hwang" <[EMAIL PROTECTED]> 05/18/06 7:03 AM >>>
Hi R Gurus!
I conducted regression and anova followings :
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.07e-01 5.95e-02 10.19 < 2e-16
***
nemp 2.87e-06 1.04e-07 27.63 < 2e-16
***
as.factor(corridor1)A -8.81e-02 2.13e-02 -4.14 3.6e-05 ***
as.factor(corridor1)B 1.75e-01 3.02e-02 5.78 8.8e-09 ***
as.factor(corridor1)C 1.09e-02 2.74e-02 0.40 0.69196
as.factor(corridor1)D 2.58e+00 1.56e-01 16.51 < 2e-16 ***
as.factor(corridor1)E -6.75e-03 1.76e-02 -0.38 0.70107
...
I do want to get the following results:
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.07e-01 5.95e-02 10.19 < 2e-16
***
nemp 2.87e-06 1.04e-07 27.63 < 2e-16
***
as.factor(corridor1) ????? ?????? ????? ?????*
But I do not know how to get coefficients of regression or Anova
model.
Thanks in advance,
--
Kum-Hoe Hwang, Ph.D.Phone : 82-31-250-3516Email : [EMAIL PROTECTED]
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