Hello all,
 
When I ran my R program in R version 2.1.1 in windows XP and 2000, and I
downloaded a package call "MIX",  I got an application error:
 
RGui:Rgui.exe - Application Error:
The instruction at "0x1009d8a1" referenced memory at "0xbde48f58". The
memory could not be "read".
Click on ok to terminate the program
click on cancel to debug the program
 
If I use R version 2.1.0, I get an application error:
RGui:Rgui.exe - Application Error:
The instruction at "0x3f1c18" referenced memory at "0x00000000". The
memory could not be "read".
Click on ok to terminate the program
click on cancel to debug the program
 
after I click cancel button to debug, I got:
 
Just-In-Time Debugging: 
     An exception 'unhandled win32 exception' has occurred in Rgui.exe.
However, no debuggers are registered that can debug this exception.
Unable to JIT debug.
 
In my program, I first  source("sump6d2.q") to get data from splus, and
attach(sump6d2),
Whenever I run this part of program, the error pops up:

library(mix)

Y<-cbind(race2,nodes,htypeed1,htypeed2,ngraded2,blood2,agem40,agem40sq,e
r,pr) #<--Y has to be a matrix for mix

s<-prelim.mix(Y,6)

#----------------------------run multiple
imputation------------------------------#

MI<-vector("list",10) #<--vector of complete data after MI

fit.model.mi<-vector("list",10)

rngseed(1234567) #<-- set random number generator seed

for (i in 1:10){

cat("Doing imputation ",i,"\n")

thetahat <- em.mix(s)

newtheta <- da.mix(s, thetahat, steps=2000, showits=TRUE) 

MI[[i]] <- imp.mix(s, newtheta)

}

Here is help file about mix

Help files with alias or concept or title matching 'mix' using regular
expression matching:

 

glmmPQL(MASS)           Fit Generalized Linear Mixed Models via PQL
gamm(mgcv)                 Generalized Additive Mixed Models
gamm.setup(mgcv)        Generalized Additive Mixed Model set up.
da.mix(mix)                   Data Augmentation for Unrestricted General
                                  Location Model
dabipf.mix(mix)         Data Augmentation/Bayesian IPF Algorithm for
                              Restricted General Location Models
ecm.mix(mix)            ECM Algorithm for Restricted General Location
                               Model
em.mix(mix)             EM Algorithm for Unrestricted General Location
                                Model
getparam.mix(mix)       Present Parameters of General Location Model
                              in an Understandable Format
imp.mix(mix)            Impute Missing Data Under General Location
                             Model
loglik.mix(mix)         Loglikelihood for Incomplete Data under the
                              General Location Model
prelim.mix(mix)         Preliminary Manipulations on Matrix of
                        I      ncomplete Mixed Data
lme(nlme)               Linear Mixed-Effects Models
lmeStruct(nlme)         Linear Mixed-Effects Structure
nlme(nlme)              Nonlinear Mixed-Effects Models
nlmeStruct(nlme)        Nonlinear Mixed-Effects Structure

 

Type 'help(FOO, package = PKG)' to inspect entry 'FOO(PKG) TITLE'.

Thanks,

Jia

 

 
 

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