[R-sig-dyn-mod] Question About solving ODE with help of deSolve

Daniel Reed reeddc at umich.edu
Thu Jun 19 17:50:44 CEST 2014


Hi Munjal:

The Word document seems to have been stripped from your email. Can you copy and paste its contents into an email with your code, etc.?

Cheers,
Daniel

_______________________________
Daniel C. Reed, PhD.
Postdoctoral Fellow,
Dept. of Earth & Environmental Sciences,
University of Michigan,
Ann Arbor, MI, USA.
email: reeddc at umich.edu
web: www.danielreed.org
Twitter: @DanielReedOcean

On Jun 19, 2014, at 11:21 AM, Munjal Patel <munjalpatel85 at gmail.com> wrote:

> Dear Members
> Regards of the day.
> I have one  doubt which came across by solving ODE using deSolve.
> If you do not mind can i exaplin here in email.
> My Differential Equation is attached in the word file.
> My all parameters are remaining constant for the time series.
> Only changing variable is Cp.
> My question is how can i get the deSolve in play in this condition ??
> 
> So that i get my new column named V (after the integration)
> 
> 
> For your reference ::
> 
> Following is the matrix output of my one of the data.
> 
>     time           Cp  ka  ke  Vd  ks Em_s E5_s   kr Em_r E5_r
> [1,]  0.0 0.000000e+00 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [2,]  0.5 6.191404e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [3,]  1.0 8.534519e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [4,]  1.5 8.839764e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [5,]  2.0 8.153719e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [6,]  2.5 7.063856e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [7,]  3.0 5.885603e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [8,]  3.5 4.776258e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> [9,]  4.0 3.803654e-01 0.9 0.6 500 0.1  1.1   12 0.05  0.8    9
> 
> Can you please guide me in it?
> 
> Will be greatly appriciated
> 
> Thank you
> 
> 
> 
> 
> 
> 
> 
> Munjal
> _______________________________________________
> R-sig-dynamic-models mailing list
> R-sig-dynamic-models at r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-dynamic-models



More information about the R-sig-dynamic-models mailing list