Hi Nicole,
 
Thank you very much for the code.
 
I agree with you that the code in the pdf could work just fine. However, maybe 
my situation is a little bit different, since I "cbind" three dependent 
variables. I think this may cause some problems when pooling. I can not use 
MANOVA function because it gave me a warning that no vcov() method can be found.
 
ya






At 2012-03-31 03:15:29,"Nicole Marie Ford" <nmf...@uwm.edu> wrote:
>this is for a different discipline...
>
>but the code may work...
>
>
>http://www.quantoid.net/l11_miceR.pdf
>
>if not let me know.
>
>----- Original Message -----
>From: "123" <xinxi...@163.com>
>To: "Nicole Marie Ford" <nmf...@uwm.edu>, "r-help" <r-help@r-project.org>
>Sent: Friday, March 30, 2012 10:46:12 AM
>Subject: Re:Re: [R] pooling in MICE
>
>
>
>
>HI Nicole, 
>
>Homework? No, it is a part of analysis for my paper. Any idea? 
>
>ya 
>
>
>
>
>
>At 2012-03-30 23:32:21,"Nicole Marie Ford" <nmf...@uwm.edu> wrote:
>>ya,
>>
>>is this homework?
>>
>>
>>----- Original Message -----
>>From: "ya" <xinxi...@163.com>
>>To: r-help@r-project.org
>>Sent: Friday, March 30, 2012 9:04:59 AM
>>Subject: [R] pooling in MICE
>>
>>Hi everyone,
>>
>>Does anyone here has experience using MICE to impute missing value? I am 
>>having problem to pool the imputed dataset for a MANOVA test, could you 
>>give me some advice please?
>>Here is my code:
>> > library(mice)
>> > 
>>grd3dat=subset(paper2,Control==1&Grade_1==3,select=c(Boy,BVCategoryT1,reclassify,meanseap_1,meandep_1,meananx_1,meanper_1,meanrelma_1,meandiff_1,meanascon_1,meanclasc_1,meanschoc_1))
>> > grd3imp=mice(grd3dat,m=20,seed=123,print=F)
>> > grd3mod=with(grd3imp,lm(cbind(meanseap_1,meandep_1,meananx_1)~Boy*BVCategoryT1))
>> > summary(pool(grd3mod))
>>Error in table[, 8] <- x$nmis[names(x$qbar)] :
>>   replacement has length zero
>>
>> > pool(grd3mod)
>>Call: pool(object = grd3mod)
>>Pooled coefficients:
>>  [1]  2.51538922  0.08041626 -0.02266421  0.33964482 -0.38691307 -0.28778570 
>> -0.10405965  0.12206124  0.86739342 -0.17195284  0.04784570 -0.38342776
>>[13] -0.07785758  0.27914375  0.09205530 -0.09185746  2.04934495 -0.34833583 
>>-0.02972867 -0.65564544 -0.33033151  0.29788500  0.11309193  0.32081963
>>Fraction of information about the coefficients missing due to nonresponse:
>>  [1] 0.2113750 0.2137368 0.3849378 0.1885110 0.2056638 0.4089043 0.1960244 
>> 0.1116587 0.2015711 0.1960397 0.3745362 0.2108851 0.2545268 0.4241958 
>> 0.2146440
>>[16] 0.2520252 0.2380274 0.2131245 0.3006583 0.2464491 0.2915607 0.2173454 
>>0.1970864 0.1422042
>>Thank you very much.
>>
>>YA
>>
>>______________________________________________
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>>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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