[R] Drop in a Loop

[Olu Ola]

Thanks Will.
 Below is the flow of my code

Yhat is the fitted value
Errhat is the difference between the dependent variable and the yhat
gmmdata is the data name
 
N <- nrow(gmmdata)
B <- 1000
store <- matrix(0,B,11)
for (j in 1:B) {
  index = sample(1:N, N, replace=T)
  errnew = errhat[index]
  yt = yhat + errnew
objective function subroutine
gradient function subroutine  
gmmiv =Optimx() 
  store[j,] = coef(gmmiv)
}

What I want to do is that if the convergence code from optimx for a particular iteration is Not zero, then it should not be stored in store[j,].

Any help will be appreciated

Thank you






--------------------------------------------
On Tue, 9/15/15, Will Hopper <wjhopper510 at gmail.com> wrote:

 Subject: Re: [R] Drop in a Loop

 Cc: r-help at r-project.org
 Date: Tuesday, September 15, 2015, 2:30 PM

 I
 think you ought to show a small example of how the code
 you're using. Are you saving results at every iteration?
 In a list, data frame, etc? People likely need that to help
 answer your question.

  Also probably have a look the control list
 argument and the save.failures option, that might be
 something you're interested in. 

 - Will 

 On Tue, Sep 15, 2015 at
 1:34 PM, Olu Ola via R-help <r-help at r-project.org>
 wrote:
 Hello,

 I am doing some estimation using optimx and after each round
 of estimation, I store the coefficient. However, I need to
 drop the set of coefficients for which the convergence code
 in optimx is GREATER than Zero. How do I go about this?



 A way forward will be highly appreciated.



 Thank you



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