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 equation (I tried also with more equations, but I still obtain this error). I would appreciate if someone could help me in understanding the reason of the error and in fixing it. Thanks for your attention, Paola Lecca. Here the error:> summary(Fit)Parameters: Estimate Std. Error t value Pr(>|t|) pro1_strength 1 NA NA NA Residual standard error: 2.124 on 10 degrees of freedom Error in cov2cor(x$cov.unscaled) : 'V' is not a square numeric matrix In addition: Warning message: In summary.modFit(Fit) : Cannot estimate covariance; system is singular -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: wild_pp1_mrna.txt URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20110728/0966b984/attachment.txt>
Dear R users, I?m trying to fit a set an ODE to an experimental time series. In the attachment you find the R code I wrote using modFit and modCost of FME package and the file of the time series. When I run summary(Fit) I obtain this error message, and the values of the parameters are equal to the initial guesses I gave to them. The problem is not due to the fact that I have only one equation (I tried also with more equations, but I still obtain this error). I would appreciate if someone could help me in understanding the reason of the error and in fixing it. Thanks for your attention, Paola. Here the error:> summary(Fit)Parameters: Estimate Std. Error t value Pr(>|t|) pro1_strength 1 NA NA NA Residual standard error: 2.124 on 10 degrees of freedom Error in cov2cor(x$cov.unscaled) : 'V' is not a square numeric matrix In addition: Warning message: In summary.modFit(Fit) : Cannot estimate covariance; system is singular -- *Paola Lecca, PhD* *The Microsoft Research - University of Trento* *Centre for Computational and Systems Biology* *Piazza Manci 17 38123 Povo/Trento, Italy* *Phome: +39 0461282843* *Fax: +39 0461282814* -------------- next part -------------- time pp1_mrna 0 0 2 2.754 4 2.958 6 4.058 8 3.41 10 3.459 12 2.453 14 1.234 16 2.385 18 3.691 20 3.252
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 equation (I tried also with more equations, but I still obtain this error). I would appreciate if someone could help me in understanding the reason of the error and in fixing it. Thanks for your attention, Paola Lecca. Here the error:> summary(Fit)Parameters: Estimate Std. Error t value Pr(>|t|) pro1_strength 1 NA NA NA Residual standard error: 2.124 on 10 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 singular ______________________________________________ R-help at r-project.org mailing list 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. -- *Paola Lecca, PhD* *The Microsoft Research - University of Trento* *Centre for Computational and Systems Biology* *Piazza Manci 17 38123 Povo/Trento, Italy* *Phome: +39 0461282843* *Fax: +39 0461282814* -------------- next part -------------- time pp1_mrna 0 0 2 2.754 4 2.958 6 4.058 8 3.41 10 3.459 12 2.453 14 1.234 16 2.385 18 3.691 20 3.252