Search found 61 matches

by richardparker
Tue Aug 18, 2015 4:01 pm
Forum: MLwiN user forum
Topic: Removing the (random) intercept
Replies: 3
Views: 13731

Re: Removing the (random) intercept

Hi - yes, that was my understanding: I don't think it makes sense to try to estimate an overall intercept variance (and its covariances) at level 2 when the coefficients of all the dummy variables of a categorical predictor (i.e. all three dummies from a categorical variable consisting of three cate...
by richardparker
Mon Aug 17, 2015 4:23 pm
Forum: MLwiN user forum
Topic: Removing the (random) intercept
Replies: 3
Views: 13731

Re: Removing the (random) intercept

Hi - I've tried to roughly replicate your scenario with one of the sample datasets (tutorial): library(R2MLwiN) data("tutorial") my_tutorial <- tutorial # create new factor variable standlrt_cat from standlrt, consisting of low/mid/high my_tutorial$standlrt_cat[my_tutorial$standlrt < -1] <...
by richardparker
Tue May 26, 2015 9:47 am
Forum: Stat-JR user forum
Topic: installation issue?
Replies: 7
Views: 18929

Re: installation issue?

Hi - are you able to provide any more information about the issue you have encountered? The resolution to the problem described earlier in this thread was to change the name of one of the variables in the dataset - it had a character (@) which was unsupported by Stat-JR.

Best wishes,

Richard
by richardparker
Fri Jan 16, 2015 3:44 pm
Forum: Stat-JR user forum
Topic: Random intercept vs. random slopes in 2LevelImpute
Replies: 34
Views: 82786

Re: Random intercept vs. random slopes in 2LevelImpute

Hi - I'm sorry to hear you've lost the results pane; yes, safer to switch to compatibility mode on an occasion when you're starting Stat-JR afresh - apologies I didn't make that clearer. You should be able to recover all your outputs from your downloaded results, however: e.g. WordPad is a good choi...
by richardparker
Fri Jan 16, 2015 2:28 pm
Forum: Stat-JR user forum
Topic: Random intercept vs. random slopes in 2LevelImpute
Replies: 34
Views: 82786

Re: Random intercept vs. random slopes in 2LevelImpute

Hi - you will hopefully be able to open them in a browser: e.g. Internet Explorer has support for .svg from version 9 onwards: see http://caniuse.com/#feat=svg. Also, thinking on, you could try switching to compatibility view when using IE10: may help the initial problems you had rendering the plots...
by richardparker
Fri Jan 16, 2015 12:10 pm
Forum: Stat-JR user forum
Topic: Random intercept vs. random slopes in 2LevelImpute
Replies: 34
Views: 82786

Re: Random intercept vs. random slopes in 2LevelImpute

Hi - we've tested Stat-JR using Chrome and Firefox, much less so with IE, so there may be issues specific to that browser - unfortunately I haven't been able to test the action you were trying to perform with IE10 here, so can't quite see whether it's a browser issue or not. That's good that you can...
by richardparker
Thu Jan 15, 2015 3:57 pm
Forum: Stat-JR user forum
Topic: Random intercept vs. random slopes in 2LevelImpute
Replies: 34
Views: 82786

Re: Random intercept vs. random slopes in 2LevelImpute

Hi - yes, 1.5 hours is an excessively long time: can I just ask what browser (including version number) you're using, please? Also note that an alternative means of viewing the .svg files is to download the outputs (via the green Download button, just above where the outputs are displayed in the Sta...
by richardparker
Wed Jan 14, 2015 3:25 pm
Forum: Stat-JR user forum
Topic: Random intercept vs. random slopes in 2LevelImpute
Replies: 34
Views: 82786

Re: Random intercept vs. random slopes in 2LevelImpute

Hi - the .svg files can take a short time to generate when you request to view them. I've just tested the 2LevelImpute template, and the .svg plots did successfully appear - including via 'popout' - but only after I waited a short time, so that might be the issue? (Stat-JR generates them 'on demand'...
by richardparker
Fri Dec 19, 2014 2:35 pm
Forum: Stat-JR user forum
Topic: Slow with imputation model
Replies: 9
Views: 28165

Re: Slow with imputation model

Hi Shane - I've attached a new version of the 2LevelImpute template with a fix for the bug which likely caused your crash (we'll replace the copy on the CMM website with this version too). It's zipped up, so just need to extract it into your StatJR/templates folder.
by richardparker
Wed Dec 17, 2014 2:49 pm
Forum: Stat-JR user forum
Topic: Bounding of values in 2LevelImpute
Replies: 1
Views: 13002

Re: Bounding of values in 2LevelImpute

Hi - thanks for your post - you're right: that isn't possible with the 2LevelImpute template.

Best wishes,

Richard