R help - Nov 1999 - p-value from lm

I'd like to automatically plot the p-value and r^2 of a linear model.
I know that I can extract r^2 with 

foo <- lm(y~x)
a <- summary(foo)
a$r.squared

I can't find any similar functionality to obtain the p-value based on
the ftest

a$fstatistic returns the actual f-test and df, but not the p-value.

Any thoughts?

Thanks,

Adam

using		R-0.65.1
                Win32
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On Tue, Nov 23, 1999 at 03:00:42PM -0500, Adam Kornick
wrote:
> I'd like to automatically plot the p-value and r^2 of a linear model.
> I know that I can extract r^2 with 
> 
> foo <- lm(y~x)
> a <- summary(foo)
> a$r.squared
> 
> I can't find any similar functionality to obtain the p-value based on
> the ftest
> 
> a$fstatistic returns the actual f-test and df, but not the p-value.
> 
> Any thoughts?
> 
  You can use directly the F distribution function (pf). E.g.
  
  f.stat <- a$fstatistic
  p.value <-
1-pf(f.stat["value"],f.stat["numdf"],f.stat["dendf"])

  guido
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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