[R] Organize regression output
lists at dewey.myzen.co.uk
Sat Dec 10 10:49:29 CET 2016
i usually do this by collecting the models into a list not a vector
model <- list(ra = ra, rb = rb, and so on
and then I use lapply or sapply to process the model
lapply(mode, function(x) coef(x))
or something like that, not tested
On 10/12/2016 07:32, francesca Pancotto wrote:
> Dear Contributors
> I would like to ask some help concerning the automatization process of an analysis, that sounds hard to my knowledge.
> I have a list of regression models.
> I call them models=c(ra,rb,rc,rd,re,rf,rg,rh)
> I can access the output of each of them using for example, for the first
> and i obtain
> (Intercept) coeff1 coeff2 age gender
> 0.62003033 0.00350807 -0.03817848 -0.01513533 -0.18668972
> and I know that ra$coefficients would give me the intercept of this model.
> What i need to do is to collect the coefficients of each regression in models, and calculate and place in a table, the following simple summation:
> ra rb rc ...
> intercept intercept intercept
> intercept+coeff1 intercept+coeff1 intercept+coeff1
> intercept+coeff2 intercept+coeff2 intercept+coeff2
> intercept+coeff1+coeff2 intercept+coeff1+coeff2 intercept+coeff1+coeff2
> The calculations are trivial(I know how to do it in steps) but what is difficult for me is to invent a procedure that organizes the data in an efficient way.
> I tried some step , starting with collecting the coefficients but i think I am going the wrong way
> calcolati <- list()
> for (i in c(ra,rb,rc,rd,re,rf,rg,rh))
> calcolati[[i]] <- i$coefficients
> Thanks for any help you can provide.
> Francesca Pancotto
> Web: https://sites.google.com/site/francescapancotto/ <https://sites.google.com/site/francescapancotto/>
> http://www.energie.unimore.it/ <http://www.energie.unimore.it/>
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