> Hi !
>
> I want to ask if somebody knows the way to create data frame with
> coefficients from many regressions
> I regress the first column from ret against the first columns from median,
> then the second with the second and so on.
> This is the code used for regression
>
> i<-1:6
> lapply(seq_len(ncol(ret)),function(i) {lm(ret[,i]~median[,i])}
>
> I get 6 results for each regression
>
> [[1]]
>
> Call:
> lm(formula = ret[, i] ~ median[, i])
>
> Coefficients:
> (Intercept) median[, i]
> 0 1
>
>
> [[2]]
>
> Call:
> lm(formula = ret[, i] ~ median[, i])
>
> Coefficients:
> (Intercept) median[, i]
> -1.411e-17 1.000e+00
>
> now I would like to create a data frame with intercepts which looks like it
>
> [[1]] [[2]]
> Intercept
> median
>
> I tried to use ddply command but it does not work. I will be very grateful
> for the hint :)
>
> Thank you in advance
>
>
______________________________________________
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.