[R] question on OPTIMX with installing and using
    Hey Sky 
    heyskywalker at yahoo.com
       
    Fri Sep 17 17:14:29 CEST 2010
    
    
  
Dear R users
I have tried to  install the optimx but met problems.
I have gone to the website you  suggested: 
https://r-forge.r-project.org/R/?group_id=395
and tried  to install it with the following method:
install.packages("optimx", repos="http://R-Forge.R-project.org")
I have received the  following information:
package 'numDeriv' successfully unpacked and MD5 sums  checked
package 'BB' successfully unpacked and MD5 sums checked
package  'ucminf' successfully unpacked and MD5 sums checked
package 'Rcgmin'  successfully unpacked and MD5 sums checked
package 'Rvmmin' successfully  unpacked and MD5 sums checked
package 'minqa' successfully unpacked and MD5  sums checked
package 'setRNG' successfully unpacked and MD5 sums  checked
package 'optimx' successfully unpacked and MD5 sums  checked
The downloaded packages are in
C:\Documents and  Settings\mycomputer\Local  
Settings\Temp\Rtmpd7resh\downloaded_packages
after that, I have tried the  following example from the manual of optimx but 
encountered error message  as:
Error: could not find function "optimx"
after that I have tried  download the package for windows, optimx_0.86.zip, and 
all other support  routines, installed them from the menu of "install package 
from local zip file".  but i still met the upper error message. 
I then use: library("optimx") this loaded the optimx, I think, but the 
"optansout" has been masked by Rvmmin and Rcgmin. then when I tried the 
following example, the error message shows: 
Error: package 'tools' does not have a name space
any suggestions for the question on the upper two parts? any suggestion are 
apprecitated
Nan  
from Montreal
Example code from  optimx manual:
require(graphics)
fr <- function(x) { ## Rosenbrock  Banana function
x1 <- x[1]
x2 <- x[2]
100 * (x2 - x1 * x1)^2 + (1  - x1)^2
}
grr <- function(x) { ## Gradient of 'fr'
x1 <-  x[1]
x2 <- x[2]
c(-400 * x1 * (x2 - x1 * x1) - 2 * (1 - x1),
200 *  (x2 - x1 * x1))
}
ans1<-optimx(c(-1.2,1), fr)
    
    
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