Re: [R] Non-linear modelling with several variables including a categorical variable

2013-07-05 Thread Prof J C Nash (U30A)
Weterings To: "Prof J C Nash (U30A)",r-help@r-project.org Subject: Re: [R] Non-linear modelling with several variables including a categorical variable Message-ID: Content-Type: text/plain Dear Prof. Nash, I tried to run nls with the nlxb function and as you mention it

Re: [R] Non-linear modelling with several variables including a categorical variable

2013-07-04 Thread Robbie Weterings
and run all the least squares minimizations. Crude but effective. >> nlxb from nlmrt or nlsLM from minpack.lm may be more robust in doing >> this, but less efficient if nls works OK. >> >> JN >> >> On 13-07-03 06:00 AM, r-help-requ...@r-pr

Re: [R] Non-linear modelling with several variables including a categorical variable

2013-07-04 Thread Robbie Weterings
is, but less efficient if nls > works OK. > > JN > > On 13-07-03 06:00 AM, r-help-requ...@r-project.org wrote: > >> Message: 10 >> Date: Tue, 2 Jul 2013 19:01:55 +0700 >> From: Robbie >> Weterings >> > >> To:r-help@r-project.org >&g

Re: [R] Non-linear modelling with several variables including a categorical variable

2013-07-03 Thread Prof J C Nash (U30A)
p@r-project.org Subject: [R] Non-linear modelling with several variables including a categorical variable Message-ID: Content-Type: text/plain Hello everyone, I am trying to model some data regarding a predator prey interaction experiment (n=26). Predation rate is my response variable

[R] Non-linear modelling with several variables including a categorical variable

2013-07-02 Thread Robbie Weterings
Hello everyone, I am trying to model some data regarding a predator prey interaction experiment (n=26). Predation rate is my response variable and I have 4 explanatory variables: predator density (1,2,3,4 5), predator size, prey density (5,10,15,20,25,30) and prey type (3 categories). I started wi