Search found 43 matches

by yongjookim78
Thu Aug 17, 2017 3:11 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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"...
by yongjookim78
Thu Aug 17, 2017 2:22 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 ...
by yongjookim78
Thu Aug 17, 2017 2:16 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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
by yongjookim78
Thu Aug 17, 2017 1:20 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

Got it! Will do that and get it back to you, Chris! Thank you again!
Best,
Yongjoo
by yongjookim78
Wed Aug 16, 2017 6:07 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 le...
by yongjookim78
Wed Aug 16, 2017 4:32 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 ap...
by yongjookim78
Wed Aug 16, 2017 4:24 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 explanato...
by yongjookim78
Tue Aug 15, 2017 11:43 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 variable...
by yongjookim78
Tue Aug 15, 2017 8:33 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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! Tha...
by yongjookim78
Tue Aug 15, 2017 8:09 pm
Forum: Stat-JR user forum
Topic: imputation model specification
Replies: 23
Views: 16275

Re: imputation model specification

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 each...