[R] log-transformed linear regression
sa.cizmeli at usherbrooke.ca
Thu Nov 11 01:27:20 CET 2010
I would like to take another chance and see if there if someone has
anything to say to my last post...
On 11/10/2010 01:11 PM, servet cizmeli wrote:
> I have a basic question. Sorry if it is so evident....
> I have the following data file :
> I need to model Y~X-1 (simple linear regression through the origin) with
> these data :
> abline(b=0.0235, a=0,col="red",untf=T)
> abline(b=0.031, a=0,col="green",untf=T)
> Other people did the same kind of analysis with their data and found the
> regression coefficients of 0.0235 (red line) and 0.031 (green line).
> Regression with my own data, though, yields a slope of 0.0458 (black
> line) which is too high. Clearly my regression is too much influenced by
> the single point with high values (X>100). I would not like to discard
> this point, though, because I know that the measurement is correct. I
> just would like to give it less weight...
> When I log-transform X and Y data, I obtain :
> I am happy with this regression. Now the slope is at the log-log domain.
> I have to convert it back so that I can obtain a number comparable with
> the literature (0.0235 and 0.031). How to do it? I can't force the
> second regression through the origin as the log-transformed data does
> not go through the origin anymore.
> at first it seemed like an easy problem but I am at loss :o((
> thanks a lot for your kindly help
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> and provide commented, minimal, self-contained, reproducible code.
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