Re: [R] how to the p-values or t-values from the lm's results

From: Sean O'Riordain <seanpor_at_acm.org>
Date: Sun 20 Aug 2006 - 17:34:09 EST

Hi there Zhang,
While there might be a better way... an ugly but generic way of accessing this type of information is to use str() and a little experimentation... here is a little history() of what I did to find it...

a
str(a)
str(logr)

a[[1]]
a[[2]]
a[[3]]
a[[4]]
a[[4]][[1]]
a[[4]][1,]
a[[4]][,4]

and hey presto... we have it... :-)

now if I actually understood what was going on here I'd probably be faster... but it is pretty generic and you can almost always get at those things using this technique... no doubt somebody with more knowledge will explain why it works :-)

cheers,
Sean

On 20/08/06, zhijie zhang <epistat@gmail.com> wrote:
> 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
> -------------------------------------------------------------
> **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)
> ------------------------------------------------------------------------------------------------------------------------
> 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 ,
>
> [[alternative HTML version deleted]]
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sun Aug 20 17:42:47 2006

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