I'm trying to impute data using the mi package, but after running
through almost the entire first round of imputations (which takes
quite a while), it throws this error (I'll include the whole output
prior to the error for context). Does anyone know what is causing it,
or how I can fix it?
More specifically, how can I tell what is throwing the error so I know
what to fix? Is it a problem with a variable? With the formula I am
using for imputations?
Beginning Multiple Imputation ( Thu Jul 15 09:10:33 2010 ):
Iteration 1
Imputation 1 : min.func* Tenure* Salary* Housing* ord_stat*
rural_now* a3* a7* a8* a9* a10* a12* a13* a14* a15* a16*
a17a* a17b* a17c* a17d* a17e* a17f* a18* a21* b1a* b1b*
b1c* b1d* b1e* b1f* b1g* b1h* b1i* b3a* b3b* b3c* b3d*
b3e* b3f* b3g* b4a* b4b* b4c* b4d* b4e* b4f* b4g* b4h*
b4i* b4j* b4k* b4l* b4m* b4n* b4o* b4p* b5a* b5b* b5c*
b5d* b5e* b5f* b5g* b5h* b5i* b5j* b5k* b5l* b5m* b5n*
b5o* b6a* b6b* b6c* b6d* b6e* b6f* b6g* b6h* b6i* b6j*
b6k* b6l* b7a* b7b* b7c* b7d* b7e* b7f* b7g* b7h* b7i*
b7j* b7k* b9b* b10a* b10b* b13a* b13b* b13c* b14* c3* c4*
c5* c12a* c12b* c12c* c12d* c12e* c12f* c19* d1* d2* d3*
d6* d7a* d7b* d7c* d7d* d7e* d7f* d7g* d7h* d7i* d8a* d8b*
d8c* d8d* d8e* d8f* d8g* d8h* d8i* d9a* d9b* d9c* d9d*
d9e* d10a* d10b* d10c* d10d* d10e* d10f* d11* d13* d14* e1*
e2* e3* e5* e6* f2* f3a* f3b* f3c* f3d* f3e* f4* f6* f7*
f8* f9* f12* f14* f15* f16* f20* f21* f22* f23* f25* g2*
g3* g6* g8* g9* g12* g13* g15* g17* g18* g22* g25* g26*
g27* g28* g31* g34* g43* g55* g58* g59* g60* g61* g63*
g65* g68a* g68b* g69* g70* g71* g91* g92* g93* g94* g95*
Error in AveVar[s, i, ] <- c(avevar.mean, avevar.sd) :
number of items to replace is not a multiple of replacement length
And here is what traceback() gives:
> traceback()
3: .local(object, ...)
2: mi(imp.data, info = info2, n.iter = 6, preprocess = FALSE)
1: mi(imp.data, info = info2, n.iter = 6, preprocess = FALSE)
Andrew Miles
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