[R] psychometric functions
Doran, Harold
HDoran at air.org
Thu Aug 21 14:40:27 CEST 2008
I am pretty certain a function for this model does not exist. Jan
Deleeuw or Dimitris Rizopolous may suggest otherwise. There is a package
for a model that would allow for the lower asymptote of the function to
be > 0; it does not however, allow the upper asymptote to vary from 1
(well, it tends to 1) and this is in the ltm package.
> -----Original Message-----
> From: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org] On Behalf Of Mario Maiworm
> Sent: Thursday, August 21, 2008 7:05 AM
> To: r-help at r-project.org
> Subject: [R] psychometric functions
>
> 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 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.
>
More information about the R-help
mailing list