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Dearl all, I have to fit a function y = f(x1, x2) to data experiemntal data describing the measured behavior of y. x1 and x2 are the independent variables. Could you suggest me wich R package can I use for this purpose? Thanks, Paola. -- *Paola Lecca, PhD* *The Microsoft Research - University of Trento* *Centre for Computational and Systems Biology* *Piazza Manci 17 38123 Povo/Trento,

Dear all, I used modFit of the package FME to fit a set of ODE to a ste of eperiemntal data. The summary of this fit give me the following error > summary(Fit) Residual standard error: 984.1 on 452 degrees of freedom Error in cov2cor(x$cov.unscaled) : 'V' is not a square numeric matrix In addition: Warning message: In summary.modFit(Fit) : Cannot estimate covariance; system is

Dear all, I tried to use nls, but I got the following error Error in numericDeriv(form[[3L]], names(ind), env) : Missing value or an infinity produced when evaluating the model Any suggestion? Thanks, Paola. The code I wrote is Data_pp2_mrna <- data.frame( p1 = protein_1, p6 = protein_6, pp2_mrna

Dear R users, I'm trying to fit a set an ODE to an experimental time series. In the attachment you find the R code I wrote using modFit and modCost of FME package and the file of the time series. When I run summary(Fit) I obtain this error message, and the values of the parameters are equal to the initial guesses I gave to them. The problem is not due to the fact that I have only one

...sk console reports the correct hangup time prediction with a message like: "Channel will hangup at " ... but the call doesn't hangup. If the L (limit) modifier of the Dial cmd is not used, the call hangups correctly. Asterisk version: 1.4.26 Thanks for supporting, have a nice day. Mancy

Dear all, I'm trying to fit the following function slope_pp3_mrna = ( (k3 * v3_K_d *p1^v3_h) / ( (v3_Kd^v3_h) + p2^v3_h ) ) * ( 1/(1 + (p2/v4_Kd)^v4_h) ) - pp3_mrna to this experimental data in the datafraeme "Data_pp3_mrna" (see it at the end of this e-mail) I'm using the nls function in the following code. IN the last step of the fit

* Apologies for multiple posting * I attached to my previous e-mail a .r file, and it was not permitted by the rules of the mailing lis. Again, please receive my sincere apologies for this. I re-send again the e-mail with .txt attachemnt in the hope someone an help me to solve my problem. I'm trying to fit a set an ODE to an experimental time series. In the attachment you find the R code I