Paul, thanks a lot for your advice! I got that kuss et al. paper and started to read, this is more than I had expected! Very cool paper, and an algorithm implemented in R that seems to be even superior to psignifit in matlab. So thanks again! mario
__________________________________________________________________ Mario Maiworm Biological Psychology and Neuropsychology University of Hamburg Von-Melle-Park 11 D-20146 Hamburg Phone: +49 40 42838 8265 Fax: +49 40 42838 6591 http://bpn.uni-hamburg.de/Maiworm_e.html http://cinacs.org __________________________________________________________________ >>> -----Original Message----- >>> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] >>> project.org] On Behalf Of Paul Artes >>> Sent: Thursday, August 21, 2008 5:37 PM >>> To: r-help@r-project.org >>> Subject: Re: [R] psychometric functions >>> >>> >>> There is a nice paper by Yssaad-Fesselier and Knoblauch on "Modelling >>> Psychometric Functions in R". >>> http://hal.archives-ouvertes.fr/docs/00/13/17/99/PDF/B125.pdf >>> >>> You might also be interested in this: >>> http://www.journalofvision.org/5/5/8/article.aspx >>> which comes from the same group as the psignifit toolbox for matlab >>> (methinks), but is a step ahead. >>> >>> Best wishes >>> >>> Paul >>> -- >>> View this message in context: http://www.nabble.com/psychometric- >>> functions-tp19086590p19091317.html >>> Sent from the R help mailing list archive at Nabble.com. >>> >>> ______________________________________________ >>> R-help@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. ______________________________________________ R-help@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.
