Hello evyrone, I would be grateful if you could help me in (I hope) simple problem. I fit a gam model (from mgcv package) with several smooth functions . I don't know how to extract values of just one smooth function. Can you please help me in this? Kind regards, Daniel Rabczenko
Hi Daniel, I presume you mean coefficients by values. Try ?gamObject and read the info in the help file. A GAM object (returned by the function gam() ) contains an element coefficients that is easily accessible. That one contains all estimated coefficients, including those for the smooth functions. On Thu, Oct 1, 2009 at 1:49 PM, Daniel Rabczenko <daniel at medstat.waw.pl> wrote:> Hello evyrone, > I would be grateful if you could help me in (I hope) simple problem. > I fit a gam model (from mgcv package) with several smooth functions . > I don't know how to extract values of just one smooth function. Can you > please help me in this? > Kind regards, > Daniel Rabczenko > > ______________________________________________ > R-help at 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. >
If you mean the values of the smooth function for different values of its argument then take a look at setting `type="terms"' for `predict.gam'... the returns predictions split up by individual smooth terms (and any parametric terms) On Thursday 01 October 2009 12:49, Daniel Rabczenko wrote:> Hello evyrone, > I would be grateful if you could help me in (I hope) simple problem. > I fit a gam model (from mgcv package) with several smooth functions . > I don't know how to extract values of just one smooth function. Can you > please help me in this? > Kind regards, > Daniel Rabczenko > > ______________________________________________ > R-help at 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.--> Simon Wood, Mathematical Sciences, University of Bath, Bath, BA2 7AY UK > +44 1225 386603 www.maths.bath.ac.uk/~sw283