Hello all,
A perhaps simple question. I am trying to complete unordered categorical
missing data using mi package. There are two variables with missing data:
Mat and Use. The problem is that the Use has several categories and somehow
this means I can't plot the results as I get this error. Any idea how to fix
the problem?
Any help much appreciated,
Best,
Ioanna
new<-read(Sample.csv)
new$Use<-factor(new$Use)
MissingData <- missing_data.frame(new)
MissingData <- change(MissingData, y = "DS", what = "type", to =
"ordered-categorical")
# STEP 3: look deeper
summary(MissingData)
summary(MissingData@patterns)
show(MissingData)
hist(MissingData)
# STEP 4: impute
## Not run:
IMPsample <- mi(MissingData)
#STEP5: diagnostics
Plot(IMPsample)
Error in `rownames<-`(`*tmp*`, value = c("Oc11", "Oc12", "Oc13", "Oc14", :
length of 'dimnames' [1] not equal to array extent
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