No idea of the area but does this link help? http://bioinformatics.oxfordjournals.org/content/24/13/1549.full
John Kane Kingston ON Canada > -----Original Message----- > From: rnoob...@gmail.com > Sent: Tue, 23 Apr 2013 10:55:59 -0400 > To: r-help@r-project.org > Subject: [R] Need to replicate Boltzman Signmodial Curve fit from Graph > Pad > > Hello useRs (please don't kill me), > > I've fairly new to R having only a few months of playing around with R. > What little I've learned has been extremely useful. > > If someone could point me as to how to replicate the Boltzman Sigmodial > curve fit as provided by Graphpad software I'd be eternally grateful. > > Where we currently use Graphpad for only this one function,its seems > highly inefficient for a $100 piece of software to be used for only one > function (which isn't nearly as bad as the company's pandemic reliance on > Excel for nearly everything else). > > so anyway, what I'd normally do is take a set of data like this: > > pH counts 3.8 968 5.0 1347 5.8 2867 6.6 9203 7.0 15817 7.4 20297 > 8.2 > 31916 9.2 35756 > then fit this to a Boltzman sigmodial in Graphpad. Graphpad spits out a > much longer set of vectors and also information about v50 and confidence > intervals etc (if anyone is familiar with that software). This is what > i'd > like to replicate. > > It might be that I just don't know what i'm doing,so feel free to call me > an idiot but any help is greatly appreciated! > > -JJ > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ____________________________________________________________ FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop! ______________________________________________ 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.
