R help - Feb 2015 - lme: Can not find groupData object in a function could this be a scoping problem?

R 3.1.0, RStudio  0.98.95
Windows 7


I have written a function that uses lme:


doit<- function(TS,rho,premean,presd,RxEffect) {
.
.
.
  # Prepare data frames for regression analyses.
  data <-
data.frame(group=c(rep("Cont",SS),rep("Exp",SS)),
                   pre=pre,post=post)  
.
.
.
 
previous<-data.frame(time=c("pre","post"),cbind(subject=i,group=data[i,"group"],t(data[i,c("pre","post")])))
. 

.
.
  inter<-groupedData(value~as.integer(time)+as.integer(group)+
                     as.integer(time)*as.integer(group)|subject,
                     inner=~group,data=previous)

  print(inter)
  lmeinter<-lme(inter)
.
.
.
}


When I run the code, at the statement,    lmeinter<-lme(inter)  I get a
message:
Error in is.data.frame(data) : object 'inter' not found.
Please note that the print statement, print(inter) prints the groupedData
object!
The code works fine when it is not in a function, i.e. 


  inter<-groupedData(value~as.integer(time)+as.integer(group)+
                     as.integer(time)*as.integer(group)|subject,
                     inner=~group,data=previous)

  lmeinter<-lme(inter)



runs and has no problem finding inter.


Can someone suggest what I might change to fix the problem? I think I may have a
scoping problem but I am not knowledgeable enough to know (1) how to check this
and (2) what to do to fix it.


Thanks,
John




John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing) 


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Hi,

  Unless you defined SS somewhere before you execute "data <-
data.frame(group=c(rep("Cont",SS),rep("Exp",SS)),
pre=pre,post=post)", SS is
not assigned.  Maybe it is TS you intended?

doit<- function(TS,rho,premean,presd,RxEffect) { 
. 
. 
. 
  # Prepare data frames for regression analyses. 
  data <-
data.frame(group=c(rep("Cont",SS),rep("Exp",SS)),
                   pre=pre,post=post)   



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