Hi, I want to fit some psychophysical data with cumulative gaussians. There is quite a convenient toolbox for matlab called 'psignifit' (formerly known as 'psychofit'). It allows the lower bound of the sigmoid to vary slightly from zero, aswell as the upper bound to vary from one. with these two free parameters, the fitted function is less sensitive to noisy data and outliers. Apart from advertising this toolbox I want to ask for possibilities in R to fit psychometric functions, as I would rather use R than matlab. Is there a comparable package specific for psychophysics in R? otherwise: which function would be a good choice? Can I have functionality equal to 'psignifit' with glm() from MASS. I would be grateful for some suggestions of people who have experience in sigmoid-fitting in R. Best, 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 ______________________________________________ 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.
