Re: [R] special question on regression

2011-07-18 Thread Greg Snow
ct.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Johannes Radinger > Sent: Sunday, July 17, 2011 4:02 AM > To: r-help@r-project.org > Subject: [R] special question on regression > > Hello R-people! > > I have a general statistical question about regression

Re: [R] special question on regression

2011-07-17 Thread Johannes Radinger
Hello, @Bert: I didn't expect a full tutorial service but probably a hint of the Masters of statistics ;) Anyway I posted my question again on a special statistic forum. Your hint about the censored regression: I don't think that this is the case here. As so far as I understand it is there the d

Re: [R] special question on regression

2011-07-17 Thread Uwe Ligges
- Please also reply to the original poster who may not be subscribed to the list. - Please cite the original question (and other relevant parts of the thread) since some readers of this list will delete messages before an answer arrives. Uwe Ligges On 17.07.2011 15:22, saskay wrote: You cou

Re: [R] special question on regression

2011-07-17 Thread saskay
You could treat the dependent variable as a nominal variable. And scale the indepent variables to have a Mean:0 and StDev:1. Stick all these in a multinomial regression package such as mlogit. Or a non -parametric method such as randomForest. -- View this message in context: http://r.789695.n4.n

Re: [R] special question on regression

2011-07-17 Thread Bert Gunter
Johannes: R is not a statistical tutorial service, although kind and able helpeRs sometimes do reply to such queries. You should try such a service, for example: http://stackoverflow.com/ FWIW, this is an example of censoring in regression. R has packages for this, but you need to learn more or

[R] special question on regression

2011-07-17 Thread Johannes Radinger
Hello R-people! I have a general statistical question about regressions. I just want to describe my case: I have got a dataset of around 150 observations and 1 dependent and 2 independent variables. The dependent variable is of metric nature (in my case meters in a range from around 0.5-1