luke
2011-Jul-25 18:39 UTC
[R] Is there an R program that produces optimal solution/mix of multiple samples' varying volumes and values
Sorry about the lengthy subject line. Anyone know of an R' program that can look at several sources' varying available volumes/amounts and their individual set of values, compared to a "target" range/curve for these values, to find the optimal mixture(s) of these possible sources for the desired curve, and for a specified amount? I hope that makes sense as a reader. Thanks for your time. Luke
Mike Marchywka
2011-Jul-26 10:18 UTC
[R] Is there an R program that produces optimal solution/mix of multiple samples' varying volumes and values
----------------------------------------> Date: Mon, 25 Jul 2011 11:39:22 -0700 > From: lukescore770 at gmail.com > To: r-help at r-project.org > Subject: [R] Is there an R program that produces optimal solution/mix of multiple samples' varying volumes and values > > Sorry about the lengthy subject line. > Anyone know of an R' program that can look at several sources' varying > available volumes/amounts and their individual set of values, compared > to a "target" range/curve for these values, to find the optimal > mixture(s) of these possible sources for the desired curve, and for a > specified amount? I hope that makes sense as a reader.Well, whatever you are talking about you need to write some error as a function of your fit parameters and decide if you can minimize it analytically or not. If you can do it analytically, then there are probably matrix functions you want. If not, there are several optimizers that should come up on google. If you are trying to express some data in terms of nice basis set that may be different than unknown collection of things. For example, if you have sin/cos curves fft may work, polynomial something else etc. Often when people ask questions like this, they try to fit to a collection of things they think may work and then the optimizer gets stuck since it can't optimize a and b for a*x + b*x etc so make sure your error function has a specific "best" fit etc. Generally coding mistakes can be addressed on the list if you get that far.> > Thanks for your time. > Luke
Maybe Matching Threads
- Bar charts, frequencies known, intervals of varying width
- Box-Cox Transformation: Drastic differences when varying added constants
- analytical solution of partial differential equation
- Simulating correlations with varying sample sizes
- Confidence Bounds on QQ Plots?