[R] simple test on slope of lm()
Gregor Gawron
gregor.gawron at rmf.ch
Mon Nov 25 09:02:29 CET 2002
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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