Dear Fellow R users,

 

I am fairly new to R and am currently conducting a mixed model.

 

I have 7 repeated measures on a simulated clinical trial 

 

If I understand the model correctly, the outcome is the measure (as a
factor) the predictors are clinical group and trial (1-7). The fixed
factors are the measure and group. The random factors are the intercept
and id and group.

 

Based on this

Dataset <- read.table("C:/Program Files/R/rw2010/data/miss/model1.dat",
header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE)

require (nlme)

model.mix <- lme (trans1 ~ Index1 + grp, 

                  random = ~ constant | id / grp ,

                  data = Dataset,

                  na.action = "na.exclude")

 

# where trans1 is the factor of the repeated measures of the scale.

# Index is the trial number, grp the group, and id the subject number.

 

I would like to split the results, just like SPSS splitfile by a
variable in the Dataset called runnb

I have tried using:

 

      by (Dataset, runnb, 

            function (x) (lme (trans1 ~ Index1 + grp, 

            random = ~ constant | id / grp ,

            data = Dataset,

            na.action = "na.exclude") )

)

 

but to no avail . as my computer hangs and I set my GUI to --mdi
--max-mem-size=1200M.

 

Any ideas as to how to splitfile the results SPSS style would be most
appreciated?

 

Also, does lme do pairwise deletion?

 

By the way

> version

platform i386-pc-mingw32

arch     i386           

os       mingw32        

system   i386, mingw32  

status                  

major    2              

minor    1.0            

year     2005           

month    04             

day      18             

language R    

Windows XP Pro.

 

Many thanks

Stephen

Ps as its my first time on this group - neat program!


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http://mail.nana.co.il

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