Hi, Reid

Do the values of W and Hg over time for a given q agree between R and Excel?
Not the optimal value of q, just the trajectories for fixed q (trying
several values for q).

If I take the iterative loop out of the function, and ask for values of Hgmod, Hgtmod, and f, then I get EXACTLY what I get out of Excel. It's the optimization that seems to be the problem. If I trace the solutions, R isn't even exploring the full parameter space I tell it to look in. SO, the iterative loop is correct, and doing what it's supposed to, since values of p, ACT match exactly what they do in excel- it's something about how R is examining the possibilities in the optimization process that is giving me different answers between the two.


I dunno- I'm going to tinker with it some more tonight.

Mike

Reid

-----Original Message-----
From: Michael Rennie [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 16, 2003 2:47 PM
To: Huntsinger, Reid
Subject: RE: [R] Excel can do what R can't?????



Hi, Reid

At 02:09 PM 7/16/03 -0400, you wrote:
>R is good at automating specific kinds of complex loops, namely those that
>can be vectorized, or that can be written to draw on otherwise built-in
>facilities. It's usually reasonable for other kinds of loops but not
>spectacularly fast. You can write this part in C, though, quite easily, and
>R provides very convenient utilities for this.
>
>As for your code: You seem to have a system of equations that relates W and
>Hg to their one-period-ago values. It might clarify things if you coded
this
>as a function: input time t values and q, output time t + 1 values. (You
>wouldn't need any arrays.) Then f would just iterate this function and
>calculate the criterion.

Wouldn't I still need to loop this function to get it through 365 days?  Is
there a big difference, then, between this and what I've got?

>Does the trajectory of (W, Hg) for given q in R seem correct? Does it agree
>with Excel? What does the criterion function look like? You could plot it
in
>R and perhaps see if the surface is complicated, in which case a simple
grid
>search might work for you.

When I give R the values that I get in excel for p, ACT, the function
solution is actually more precise than what I get in Excel; the values for
p, ACT come back identical (then again, they are exactly what I
assigned..)  But, if I leave R on it's own to find the solution, it keeps
getting jammed in a particular region.  I've never done any function
plotting in R, but it would help if I could see what kind of surface I get
for f as a function of p, ACT- this would at least force R to examine the
full range of values specified by the upper and lower limits I've set
(which it isn't doing under the 'optim' command).

Mike


>Reid Huntsinger > > > > > >-----Original Message----- >From: Michael Rennie [mailto:[EMAIL PROTECTED] >Sent: Wednesday, July 16, 2003 11:18 AM >To: Spencer Graves >Cc: R-Help; M.Kondrin >Subject: Re: [R] Excel can do what R can't????? > > > >Hi, Spencer > >I know I submitted a beastly ammount of code, but I'm not sure how to >simplify >it much further, and still sucessfully address the problem that i am having. > >The reason being is that the funciton begins > >f<- function (q) > >At the top of the iterative loop. This is what takes q and generates Wtmod, > >Hgtmod at the end of the iterative loop. the assignment to f occurs at the >bottom of the iterative loop. So, yes, the call to f is performing an >immediate >computation, but based on arguments that are coming out of the iterative >loop >above it, arguments which depend on q<-(p, ACT). Maybe this is the problem; > >I've got too much going on between my function defenition and it's >assignment, >but I don't know how to get around it. > >So, I'm not sure if your example will work- the output from the iterative >process is Wtmod, Hgtmod, and I want to minimize the difference between them > >and my observed endpoints (Wt, Hgt). The numbers I am varying to reach this > >optimization are in the iterative loop (p, ACT), so re-defining these >outputs >as x's and getting it to vary these doesn't do me much good unless they are >directly linked to the output of the iterative loop above it. > >Last, it's not even that I'm getting error messages anymore- I just can't >get >the solution that I get from Excel. If I try to let R find the solution, >and >give it starting values of c(1,2), it gives me an optimization sulution, but >an >extremely poor one. However, if I give it the answer I got from excel, it >comes right back with the same answer and solutions I get from excel. > >Using the 'trace' function, I can see that R gets stuck in a specific region >of >parameter space in looking for the optimization and just appears to give up. > >Even when it re-set itself, it keeps going back to this region, and thus >doesn't even try a full range of the parameter space I've defined before it >stops and gives me the wrong answer. > >I can try cleaning up the code and see if I can re-submit it, but what I am >trying to program is so parameter heavy that 90% of it is just defining >these >at the top of the file. > >Thank you for the suggestions, > >Mike > > >Quoting Spencer Graves <[EMAIL PROTECTED]>: > > > The phrase: > > > > f <- 1000000000*(((((Wt-Wtmod)^2)/Wt) + (((Hgt-Hgtmod)^2)/Hgt))2) ; f > > > > is an immediate computation, not a function. If you want a function, > > try something like the following: > > > > f <- function(x){ > > Wt <- x[1] > > Wtmod <- x[2] > > Hgt <- x[3] > > Hgtmod <- x[4] > > 1000000000*(((((Wt-Wtmod)^2)/Wt) + (((Hgt-Hgtmod)^2)/Hgt))2) > > } > > > > OR > > > > f <- function(x, X){ > > Wt <- X[,1] > > Hgt <- X[,2] > > Wtmod <- x[1] > > Hgtmod <- x[2] > > 1000000000*(((((Wt-Wtmod)^2)/Wt) + (((Hgt-Hgtmod)^2)/Hgt))2) > > } > > > > "par" in "optim" is the starting values for "x". Pass "X" to "f" via > > "..." in the call to "optim". > > > > If you can't make this work, please submit a toy example with the > > code and error messages. Please limit your example to 3 observations, > > preferably whole numbers so someone else can read your question in > > seconds. If it is any longer than that, it should be ignored. > > > > hope this helps. > > Spencer Graves > > > > M.Kondrin wrote: > > > >?optim > > > > > > optim(par, fn, gr = NULL, > > > method = c("Nelder-Mead", "BFGS", "CG", "L-BFGS-B", "SANN"), > > > lower = -Inf, upper = Inf, > > > control = list(), hessian = FALSE, ...) > > > > > > ..... > > > fn: A function to be minimized (or maximized), with first > > > argument the vector of parameters over which minimization is > > > to take place. It should return a scalar result. > > > > > > Your fn defined as: > > > f <- 1000000000*(((((Wt-Wtmod)^2)/Wt) + (((Hgt-Hgtmod)^2)/Hgt))2) ; f > > > What is its first argument I wonder? > > > I think you have just an ill-defined R function (although for Excel it > > > may be OK - do not know) and optim just chokes on it. > > > > > > ______________________________________________ > > > [EMAIL PROTECTED] mailing list > > > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > > > > > >-- >Michael Rennie >M.Sc. Candidate >University of Toronto at Mississauga >3359 Mississauga Rd. N. >Mississauga ON L5L 1C6 >Ph: 905-828-5452 Fax: 905-828-3792 > >______________________________________________ >[EMAIL PROTECTED] mailing list >https://www.stat.math.ethz.ch/mailman/listinfo/r-help > >--------------------------------------------------------------------------- --- >Notice: This e-mail message, together with any attachments, contains >information of Merck & Co., Inc. (Whitehouse Station, New Jersey, >USA) that may be confidential, proprietary copyrighted and/or legally >privileged, and is intended solely for the use of the individual or entity >named on this message. If you are not the intended recipient, and >have received this message in error, please immediately return this by >e-mail and then delete it. >--------------------------------------------------------------------------- ---

Michael Rennie
M.Sc. Candidate
University of Toronto at Mississauga
3359 Mississauga Rd. N.
Mississauga, ON  L5L 1C6
Ph: 905-828-5452  Fax: 905-828-3792


------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (Whitehouse Station, New Jersey, USA) that may be confidential, proprietary copyrighted and/or legally privileged, and is intended solely for the use of the individual or entity named on this message. If you are not the intended recipient, and have received this message in error, please immediately return this by e-mail and then delete it. ------------------------------------------------------------------------------

Michael Rennie M.Sc. Candidate University of Toronto at Mississauga 3359 Mississauga Rd. N. Mississauga, ON L5L 1C6 Ph: 905-828-5452 Fax: 905-828-3792

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