[R] simple test on slope of lm()

[Gregor Gawron]

Hi Fred,

Maybe this helps

	My.lm<-summary(lm(y~x))
	My.lm$coefficients

It gives you the parameters estimates with t and p-values. Have a look
at 
	names(my.lmmodel) and 
	names(summary(my.lmmodel)

If you only need to calculate the p-value having t then

	 p <- 2*(1-pt(abs(t),df=your.df)))



-----Original Message-----
From: Fred JEAN [mailto:frederic.jean at univ-brest.fr] 
Sent: Freitag, 22. November 2002 22:09
To: r-help at stat.math.ethz.ch
Subject: [R] simple test on slope of lm()


Hello

I want to compare the slope (let's say 'b') of a linear model obtained 
with lm() to a theoretical value (let's say 'th').

To do so, I think I should compute a 't value' using 
something like :

(b - 'th')/standard.deviation(b)

and then look at the p-value of this computed t.

I don't understand how to do this in a simple way, just using lm() 
outputs for example. 

I'm sorry of such a naive/newbie question, and thank you so much for 
taking time to answer.

Fred
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