Re: [R] almost logistic data evaluation

work... From: PIKAL Petr [petr.pi...@precheza.cz] Sent: 10 June 2020 07:59 To: Stephen Ellison; r-help@r-project.org Subject: RE: [R] almost logistic data evaluation Hi External heating. Normally I would use TA instrumentation but for technical reasons

Re: [R] almost logistic data evaluation

elp@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 > differ

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

Re: [R] almost logistic data evaluation

Quantitative) Sent: Tuesday, June 9, 2020 2:05 PM To: PIKAL Petr Subject: Re: [R] almost logistic data evaluation Off-list because off-topic. I didn't plot your data, but took your word that "They resemble logistics curve but they do not start as flat curve but growing curve.&quo

[R] almost logistic data evaluation

Dear all I have several files with data like those. > dput(temp) temp <- structure(list(V1 = c(0L, 15L, 30L, 45L, 60L, 75L, 90L, 105L, 120L, 135L, 150L, 165L, 180L, 195L, 210L, 225L, 240L, 255L, 270L, 285L, 300L, 315L, 330L, 345L, 360L), V2 = c(98.6867, 100.8, 103.28, 107.44, 110.06, 114.2