Hi all,
I am getting to grips with the more basic programming of the s language(at
last I here you all say). I have however come across a problem that I am
unable to solve. This is it.
I import a dataset into a data frame:
import.data(FileName="C:\\Project Work\\armd.xls",
FileType="EXCEL",DataFrame="real.data")
dim(real.data)
[1] 812 22
Then I abstract the information I am interested in. The data set I have is
form a longitudinal study on age related macular degeneration.
vec <- real.data$VISIT
tim <- as.vector(DATA[,3][vec==3])
length(tim)
zero<-as.vector(rep("0",203))
stim <-as.vector(DATA[,3][vec>3])
tims<-as.vector(c(zero,stim))
ti<-as.vector(rep(tim,4))
trt <-as.vector(real.data$RX)
y<- as.vector(real.data$BL)
pa.no<-real.data$ID
This set of commands gives a set of vectors that I want to use to in lme:
armd.fit2<-lme(fixed=y~ti+tims+trt,cluster=~pa.no,
data=real.data,na.action = na.omit)
If I run the above S gives an error saying it cannot allocate memory as
object size is too big So I run:
options(object.size=Inf)
and then run:
armd.fit2<-lme(fixed=y~ti+tims+trt,cluster=~pa.no,
data=real.data,na.action = na.omit)
again. S stops responding and the harddisk goes nuts. Does anyone else
ever have this problem or am I again at the forefront of being rubbish?
Please try an help me!
Paul H
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