www.cmm.bristol.ac.uk/forum

I've got a couple more updates.

- I transited to a simpler template, "2LevelImpute" and realized that all categorical variables (ordered/unordered) should be coded from "0". Some of my variables were coded from "1". This was indicated when using "2LevelImpute" but not in "NLevelImpute."

- Then ...

After completing the second point in the Step 3 (http://www.bristol.ac.uk/cmm/software/statjr/order-statjr/),
I did the same procedure in Stat-JR as follows:

1. Template => "NLevelImpute"

2. Number of higher level classifications => 3
Higher level classification A: region (highest)
Higher level ...

Hi Chris,

Re your advice on MinGW, I've done the second point of the Step 3 (http://www.bristol.ac.uk/cmm/software/s ... er-statjr/).

Just in case, the first point didn't work (maybe my MinGW is already up-do-dated?) I am attaching the related command output just in case!

Best,
Yongjoo

Got it! Will do that and get it back to you, Chris! Thank you again!
Best,
Yongjoo

Instead of "2LevelImpute" template (which I encountered issues posted above), I've tried to use NLevelImpute with following options:

1. Number of higher level classifications => 3
Higher level classification A: region (highest)
Higher level classification B: psun (second highest)
Higher level ...

Re my issue posted just now, I tried to re-specify imputation models with "age" as the only explanatory variable for all imputation model responses.
However, still, I've encountered the same issue "KeyError: model" with the "ready" sign turned "idle."
Would appreciate your help!
Best,
Yongjoo

Hi again!
Today, I've tried it again based on your advice yesterday as follows:

1) recoded all variables without "_" (i.e., smk3cat, drnkhigh, edu3cat)

2) chose simpler template (i.e., 2LevelImpute)

3) specified both MOI and imputation models. For imputation models, I've included explanatory ...

Oh I think you got the point! Actually I often create categorical variables with "_cat" (i.e., smk_3cat, drnk_high, edu_3cat, marri_3cat...), which are included as the response variables for imputation models. Also, some variables (i.e., hlth_5cat) are also included as explanatory variables for ...

This is really helpful and thank you very much! It is clear that it did not work well as it stopped running only after a few seconds with the attached command produced. By the way, as you suggested, I would try to run it by using a simpler template (i.e., 2LevelImpute.py) and get it back to you ...

Thank you for letting me know about them all! Based on your guideline, I copied and pasted the sub-templates to the Stat-JR template folder in my window system. Now the status is as follows:

1. template: NLevelImpute.py
2. classifications: 3
3. MOI: specified
4. imputation models: specified for ...