Re: [R] log-transformed linear regression

2010-11-11 Thread Mike Marchywka
Date: Wed, 10 Nov 2010 19:27:20 -0500 From: sa.cizm...@usherbrooke.ca To: r-help@r-project.org Subject: Re: [R] log-transformed linear regression Dear List, I would like to take another chance and see if there if someone has anything to say

Re: [R] log-transformed linear regression

2010-11-11 Thread Mike Marchywka
that just helps you match prior literature numbers found via a different method... From: marchy...@hotmail.com To: sa.cizm...@usherbrooke.ca; r-help@r-project.org Date: Thu, 11 Nov 2010 08:03:57 -0500 Subject: Re: [R] log-transformed linear regression

Re: [R] log-transformed linear regression

2010-11-11 Thread Matt Shotwell
Servet, These data do look linear in log space. Fortunately, the model log(y) = a + b * log(x) does have intercept zero in linear space. To see this, consider log(y) = a + b * log(x) y = 10^(a + b * log(x)) y = 10^a * 10^(b * log(x)) y = 10^a * 10^(log(x^b)) y = 10^a * x^b

[R] log-transformed linear regression

2010-11-10 Thread servet cizmeli
Hello, I have a basic question. Sorry if it is so evident I have the following data file : http://ekumen.homelinux.net/mydata.txt I need to model Y~X-1 (simple linear regression through the origin) with these data : load(file=mydata.txt) X=k[,1] Y=k[,2] aa=lm(Y~X-1) dev.new()

Re: [R] log-transformed linear regression

2010-11-10 Thread servet cizmeli
Dear List, I would like to take another chance and see if there if someone has anything to say to my last post... bump servet On 11/10/2010 01:11 PM, servet cizmeli wrote: Hello, I have a basic question. Sorry if it is so evident I have the following data file :