Hello!
I get the following message when I run the mi() function from the mi
package.
Error while imputing variable: c3 , model: mi.polr
Error in eval(expr, envir, enclos) : could not find function
"c14ordered"
Here's the situation:
I am running R v. 2.9.2 on Mac OSX v. 10.5.8. I am trying to impute
missing data in a data set that I've trimmed down to 302 variables.
I've created an mi.info() object on the data, and I've updated the
"type" of variable where necessary so that the mi() imputing function
uses the most appropriate type of models to estimate imputed values.
The data have no collinearlity. I then run the mi function like this:
imp = mi(imp.data, info=info2, n.iter=10)
where imp.data is my data set of 302 variables and info2 is my
modified mi.info object. I get the message as posted above. The
message only occurs when working on a variable I have labeled as
"ordered-categorical." But the mi() function processes most variables
labeled as "ordered-categorical" just fine. In fact, if shrink my
data set (say, to just 5 variables) I can get mi() to process a
problematic variable just fine as well.
I'm not sure what the function "c14ordered" is that the error message
refers to. My first thought is maybe it is referring to one of my
variables in my data? Variables names in my data follow a basic
letter-number pattern (i.e. a1, a2, etc.), but there is no c14, rather
c14a1, c14a2, etc. So I'm not sure if the variable has anything to do
with the problem, but I thought I'd mention it just in case someone
wiser in this matter than I can see something I cannot.
I cannot post code that reproduces the problem due to the nature of
the code and data involved.
Any help would be appreciated, as I am not sure what is happening, and
can't see why I can sometimes impute a variable labeled as "ordered-
categorical" and sometimes cannot.
Thanks!
Andrew Miles
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