Search found 229 matches

by seol
Mon Oct 12, 2026 8:11 am
Forum: Statistics
Topic: snowRMM Latent Profile Analysis Error Message: argument 1 is not a vector
Replies: 4
Views: 2628

Re: snowRMM Latent Profile Analysis Error Message: argument 1 is not a vector

Hi

I attached zip file that contains omv with no error. You should check the latest version of jamovi and snowRMM.

Best Regards

Seol

Oh I CAN NOT attach the file in here because of Maximum filesize per attachment: 1 MiB.

If you provide me with your email address, I’ll send you the file as an ...
by seol
Sun Oct 11, 2026 9:43 pm
Forum: Statistics
Topic: snowRMM Latent Profile Analysis Error Message: argument 1 is not a vector
Replies: 4
Views: 2628

Re: snowRMM Latent Profile Analysis Error Message: argument 1 is not a vector

Hi

Please attach a ZIP file containing omv file that reproduces the error, using data that can be shared.

Best Regards
Seol
by seol
Wed Jul 15, 2026 1:31 am
Forum: Module development
Topic: Suggestion: Adding BLRT for LPA to snowRMM (inspired by tidyLPA)
Replies: 3
Views: 7484

Re: Suggestion: Adding BLRT for LPA to snowRMM (inspired by tidyLPA)

Thank you for your kind message. No worries at all—I am glad that you were able to locate the BLRT under the Overall Fit results.

Because snowRMM is continuously being improved with bug fixes and updates, I recommend using the latest available version whenever possible. This will help ensure that ...
by seol
Tue Jul 14, 2026 8:53 pm
Forum: Module development
Topic: Suggestion: Adding BLRT for LPA to snowRMM (inspired by tidyLPA)
Replies: 3
Views: 7484

Re: Suggestion: Adding BLRT for LPA to snowRMM (inspired by tidyLPA)

Hi,

Thank you for your suggestion.

BLRT is already available in the latest version of snowRMM. In the LPA results, the Model Fit table reports both BLRT_val and BLRT_p for the selected number of classes. These statistics are used to compare a k-class solution with the corresponding k−1-class ...
by seol
Mon Jan 26, 2026 2:58 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Hi Elvire,

The updated version(5.2.0) shown below is now available in jamovi library.

Best Regards
Seol
by seol
Wed Jan 21, 2026 4:01 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Hi Elvire,

Thank you for your patience. I’d like to clarify that this behavior is expected and not caused by an issue with your data or with jamovi itself. The distractor analysis divides respondents into three score groups (lower, middle, upper), and when many participants receive the same total ...
by seol
Tue Jan 20, 2026 9:34 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Hi
Thanks for your report — this is not a bug in your data or in jamovi.

The distractor analysis divides examinees into three score groups
(high / middle / low). In some datasets, many respondents end up with
exactly the same total score, which makes it impossible to form
distinct groups. It’s ...
by seol
Mon Jan 19, 2026 10:19 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Yes, that makes sense.
Since you updated snowIRT and re-downloaded the module, the issue was most likely caused by the previous version still being used in the earlier analysis. After updating, the internal logic was refreshed, which is why the distractor analysis now works correctly.

So it looks ...
by seol
Mon Jan 19, 2026 7:34 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Hi
I’ve recently updated this issue in the latest version((VERSION 5.1.9) of snowIRT.
Could you please install the most recent version and see if the problem persists?

Best Regards
Seol
by seol
Sat Jan 17, 2026 12:02 am
Forum: Help
Topic: distractor analysis error
Replies: 16
Views: 247239

Re: distractor analysis error

Hi
Yes, that is very likely the reason.

The error "breaks are not unique" is a common R issue that occurs when the data have only a few distinct response categories (such as A, B, C). In these cases, jamovi internally relies on R functions that automatically compute break points for plotting or ...