Displaying 3 results from an estimated 3 matches for "qelin".
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delin
2017 Dec 20
1
Nonlinear regression
...t; wrote:
>Sorry about that. Here is the code typed directly on the email.
>
>qe = (Qmax * Kl * ce) / (1 + Kl * ce)
>
>##The data
>ce <- c(15.17, 42.15, 69.12, 237.7, 419.77)
>qe <- c(17.65, 30.07, 65.36, 81.7, 90.2)
>
>##The linearized data
>celin <- 1/ce
>qelin <- 1/qe
>
>plot(ce, qe, xlim = xlim, ylim = ylim)
>
>##The linear model
>fit1 <- lm(qelin ~ celin)
>intercept1 <- fit1$coefficients[1]
>slope1 <- fit1$coeffecients[2]
>summary(fit1)
>
>Qmax <- 1/intercept1
>Kl <- .735011*Qmax
>
>xlim <- ra...
2017 Dec 20
0
Nonlinear regression
...yped directly on the email.
> >
> >qe = (Qmax * Kl * ce) / (1 + Kl * ce)
> >
> >##The data
> >ce <- c(15.17, 42.15, 69.12, 237.7, 419.77)
> >qe <- c(17.65, 30.07, 65.36, 81.7, 90.2)
> >
> >##The linearized data
> >celin <- 1/ce
> >qelin <- 1/qe
> >
> >plot(ce, qe, xlim = xlim, ylim = ylim)
> >
> >##The linear model
> >fit1 <- lm(qelin ~ celin)
> >intercept1 <- fit1$coefficients[1]
> >slope1 <- fit1$coeffecients[2]
> >summary(fit1)
> >
> >Qmax <- 1/intercept...
2017 Dec 20
1
Nonlinear regression
...mothy Axberg <
> > axbergtimothy at gmail.com> wrote:
> > >Sorry about that. Here is the code typed directly on the email.
> > >
> > >qe = (Qmax * Kl * ce) / (1 + Kl * ce)
[...]
> > >##The linearized data
> > >celin <- 1/ce
> > >qelin <- 1/qe
Plotting qelin against celin, I can see why you call this the
linearized data. But fitting a linear model to these data obviously
does not give you good starting values for nls().
Given your model equation, I would linearize the model to:
qe = Qmax*KL * ce + KL * ce*qe
and fit a...