Dear friends,
After running the lm() model, we can get summary resluts like the
following:
Coefficients:
Estimate Std. Error t value Pr(>|t|)
x1 0.11562 0.10994 1.052 0.2957
x2 -0.13879 0.09674 -1.435 0.1548
x3 0.01051 0.09862 0.107 0.9153
x4 0.14183 0.08471 1.674 0.0975 .
x5 0.18995 0.10482 1.812 0.0732 .
x6 0.24832 0.10059 2.469 0.0154 *
x7 -0.04425 0.11008 -0.402 0.6886
x8 0.05146 0.10290 0.500 0.6182
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**the program maybe :
data<-matrix(rnorm(900),ncol=9) #9variables,1dependent var,8independent
data<-data.frame(data)
names(data)<-c('y','x1','x2','x3','x4','x5','x6','x7','x8')
logr<-lm(y~x1+x2+x3+x4+x5+x6+x7+x8-1,data)
a<-summary(logr)
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Could i extract the p-values or t-values from the a$Coefficients, i searched
the attributes(a), but don't find the options,how to do that?
Thanks very much!
--
Kind Regards,
Zhi Jie,Zhang ,
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