Sorry for the confusion. Let me state the question again. I missed something in my original statement.
When using the linear model lm() to fit data of the form y = k * x + b, where k, b are the coefficients to be found, and x is the variable and has an error bar (uncertainty) Δx of the same length associated with it. Is it possible to pass Δx to the linear model lm(), and from the output to find the uncertainty Δk for k, Δb for b as well? Li Sun 2012/6/24 Uwe Ligges <lig...@statistik.tu-dortmund.de>: > > > On 24.06.2012 17:47, Li SUN wrote: >> >> Hi All, >> >> when using the linear model lm() to fit data of the form y = k * x + >> b, is it possible to know the p-value for the parameters k and b? i.e. >> can we find the result of the form (k, Δk; b, Δb)? > > > If you explain what Δk means in a linear model, we may be able to help. > Also, what is "the p-value of the parameters"? Obviously a hypothesis is > missing in this sentence. > > Best, > Uwe Ligges > > > > >> >> Thanks in advance! >> >> Li Sun >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
