Hi!

I was trying to run MICE package, explained here.

In one of the last sections of MICE package explanation, I think I found a code error.

You can read:

"Since there are 5 imputed data sets, you can select any using *complete()* function.

`#get complete data ( 2nd out of 5)`

`> completeData <- complete(imputed_Data,2)`

Also, if you wish to build models on all 5 datasets, you can do it in one go using *with()* command. You can also combine the result from these models and obtain a consolidated output using *pool()* command.

`#build predictive model`

`> fit <- with(data = iris.mis, exp = lm(Sepal.Width ~ Sepal.Length + Petal.Width))`

`#combine results of all 5 models`

`> combine <- pool(fit)> summary(combine)`

"

and you should read:

"Since there are 5 imputed data sets, you can select any using *complete()* function.

`#get complete data ( 2nd out of 5)`

`> completeData <- complete(imputed_Data,2)`

Also, if you wish to build models on all 5 datasets, you can do it in one go using *with()* command. You can also combine the result from these models and obtain a consolidated output using *pool()* command.

`#build predictive model`

**HERE**

`> fit <- with(data = imputed_Data, exp = lm(Sepal.Width ~ Sepal.Length + Petal.Width))`

`#combine results of all 5 models`

`> combine <- pool(fit)

summary(combine)`"

Am I right? I tried with Iris dataset in one and other way, and I think last way is the correct way.

Thank you.

Regards.