Hi External heating. Normally I would use TA instrumentation but for technical reasons it is impossible. And other complicating factor is that temperature rise is from beginning almost parabolic (it's derivation is straight line).
Therefore I started with double exponential fit, which is sometimes satisfactory but sometimes gives nonsense result. After help from R community I got in almost all cases reasonable fit. However I want to concentrate on just the reaction part and to find some more simple way how to get slope for temperature rise and maybe other parameters related to changes in experiments. I was advised to look at "growth curve analysis" which I will try to, but I wonder if due to twisted data is appropriate. Thanks. Petr > -----Original Message----- > From: R-help <r-help-boun...@r-project.org> On Behalf Of Stephen Ellison > Sent: Tuesday, June 9, 2020 7:11 PM > To: r-help@r-project.org > Subject: Re: [R] almost logistic data evaluation > > > Actually "y" is growing temperature, which, at some point, rise more rapidly > due to exothermic reaction. > > This reaction starts and ends and proceed with some speed (hopefully > different in each material). > > Are you applying external heating or is it solely due to reaction kinetics? > > > Steve E > > ***************************************************************** > ** > This email and any attachments are confidential. Any use...{{dropped:8}} > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.