Search found 218 matches
- Sun Nov 16, 2025 8:48 pm
- Forum: General
- Topic: Composite boxplots
- Replies: 10
- Views: 19145
Re: Composite boxplots
Not yet. Todo list.
- Sun Nov 16, 2025 12:17 am
- Forum: General
- Topic: Composite boxplots
- Replies: 10
- Views: 19145
Re: Composite boxplots
This error occurs because your selected variables contain missing or infinite values; please remove or clean these values and the Profile plot will work correctly.
- Sat Nov 15, 2025 8:59 pm
- Forum: General
- Topic: Composite boxplots
- Replies: 10
- Views: 19145
Re: Composite boxplots
You can create this type of composite boxplot in snowLatent → Profile plot. The Profile plot module allows you to place multiple continuous variables in a single figure, with – variables on the x-axis, – values on the y-axis, and – grouping shown by color. This produces exactly the combined boxplot ...
- Sat Nov 15, 2025 8:53 pm
- Forum: General
- Topic: Composite boxplots
- Replies: 10
- Views: 19145
Re: Composite boxplots
Hi
Is this what you want shown below?
Best
Seol
Is this what you want shown below?
Best
Seol
- Fri Oct 24, 2025 10:50 pm
- Forum: Help
- Topic: distractor analysis error
- Replies: 1
- Views: 10341
Re: distractor analysis error
Hi EA
The newest version of snowIRT resolved the issue of 'breaks are not unique'.
please download the following version of snowIRT module in jamovi library.
Best Regards
Seol
The newest version of snowIRT resolved the issue of 'breaks are not unique'.
please download the following version of snowIRT module in jamovi library.
Best Regards
Seol
- Fri Aug 15, 2025 7:08 am
- Forum: General
- Topic: generating Expected Score Curves in SNOWIRT
- Replies: 4
- Views: 25447
Re: generating Expected Score Curves in SNOWIRT
Hi Belzile
Good news.
All graphs are produced simultaneously when you select the analysis option in dichotomous and polytomous model.
The updated version will be available on Monday. I will let you know. Thanks for your request again.
Best Regards
Seol
Good news.
All graphs are produced simultaneously when you select the analysis option in dichotomous and polytomous model.
The updated version will be available on Monday. I will let you know. Thanks for your request again.
Best Regards
Seol
- Thu Aug 14, 2025 2:11 pm
- Forum: General
- Topic: generating Expected Score Curves in SNOWIRT
- Replies: 4
- Views: 25447
Re: generating Expected Score Curves in SNOWIRT
Hi Implementing the feature to display a separate graph for each item requires a fundamental change to the module's structure. The output for plot must be converted from a single plot object into a dynamic array of plots. This change affects more than just the plotting function itself: Initializatio...
- Sun Jul 13, 2025 12:41 am
- Forum: Help
- Topic: Problem installing snowCluster module
- Replies: 6
- Views: 90350
Re: Problem installing snowCluster module
Hi
@jonathon. Waiting for an update to jamovi 2.7 sooner or later. When it is updated, please reinstall the snowCluster module from the jamovi library at that time.
Best Regards
Seol
@jonathon. Waiting for an update to jamovi 2.7 sooner or later. When it is updated, please reinstall the snowCluster module from the jamovi library at that time.
Best Regards
Seol
- Sat Jun 21, 2025 12:37 am
- Forum: Module development
- Topic: Incorrect effect-size value in paired t-test
- Replies: 8
- Views: 116470
Re: Incorrect effect-size value in paired t-test
Example: >column1 <- c(10, 20, 30, 40, 50, NA) > column2 <- c(8, 17, 28, 39, NA, 60) > # Incorrect calculation > m1 <- mean(column1, na.rm=TRUE) > m2 <- mean(column2, na.rm=TRUE) > pooledSD <- sd(column1 - column2, na.rm=TRUE) > d_wrong <- (m1 - m2) / pooledSD > d_wrong [1] -0.4898979 > # Correct ca...
- Fri Jun 20, 2025 11:46 pm
- Forum: Module development
- Topic: Incorrect effect-size value in paired t-test
- Replies: 8
- Views: 116470
Re: Incorrect effect-size value in paired t-test
Here is the correct way to calculate Cohen’s d for a paired samples t-test in R diffs <- column1 - column2 d <- mean(diffs, na.rm=TRUE) / sd(diffs, na.rm=TRUE) If there are missing values (NAs) in different places in each column, then length(column1) and length(column1 - column2) may not be equal. A...