Are you looking for something like add1 then? We do need a much clearer explanation of what you are trying to do to be able to help you: and not with y used in two separate senses!
On Tue, 18 Nov 2003, Martin Wegmann wrote: > On Tuesday 18 November 2003 19:32, Prof Brian Ripley wrote: > > On Tue, 18 Nov 2003, Martin Wegmann wrote: > > > I have count data of animals (here y, y1, y2...) and env. variables (x, > > > x1, x2 ,....). > > > > > > I used a glm > > > > > > glm(y~x1+x2+x3....) > > > > > > glm(y1~x1+x2+x3....) > > > > > > and now I would like to add the count data of other species to > > > investigate if they might have a bigger impact than the env. variables: > > > > > > #x? are the selected var from the first glm run > > > > > > glm(y~x?+x?+y1) > > > > > > glm(y~x?+x?+x?+y2) > > > > > > .... > > > > > > I wonder if there is a more elegant method to do this than adding (and > > > removing) each y by hand. > > > > Do you mean each x? In either case, see ?update. > > update looks good but with update and with adding the y I have to do it > manually. > > I thought something like doing > > glm(y~x+x1+x2+....+y§) > > where y§ is: grep y1 out of df.y run glm and name it > grep y2 out of df.y run glm ..... > > until all y's of df.y has been onced included in the model. > every time only one y§ has to be included > > the included x's have to be kept. I only want to look if one species variables > has more explanation power than the env. variables. > > perhaps this helps to understand what I am looking for: > I think bash scripts are not possible in R but it would look like such a bash > script for GRASS: > > for variable in y1 y2 y3 ....; do > > glm(y~x+x1+x2....+$variable)->glm.$variable > ; done > > #where $variable refers to the name of read in y's. > > > Martin > > > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help