Open PetBuj opened 2 years ago
Hi @PetBuj Thanks for the suggestions!
- ANOVA --> using more than one dependent variable
You can do a MANOVA for this purpose. A MANOVA takes the correlation between the dependent variables into account whereas multiple independent ANOVAs ignore this.
- Possibility to sort frequency (or any other) output table
Good idea!
- Enhance Lin. regression by All possible regressions feature (to select the most proper covariates)
Bayesian linear regression does this. In a frequentist setting, this is a bit more tricky because it can blow up the type-I error rate.
- Non-hierarchical clustering --> compute variability measure from 2 up to a given number of clusters (it is very useful)
Could you elaborate a bit on this? Is there a reference or R package that implements this so I can take a look or forward it to other members of the team?
- In hierarchical clustering --> possibility to print labels in the dendrogram
Good idea!
- Add some known time-series methods
This is on our to-do list. Some time-series methods should be available in the upcoming release.
Hi Don,
Thank you for so fast response and also for clarification of some my remarks. Regarding #4, for example in NCSS, there is a table of the odd of withinn-clusters variability and total variability. Then, it is clear how the higer number of cluster decreases the ‚inner‘ variability of clusters. Maybe, there is somethig, but I didn’t find it.
Best regards,
P. Bujok
From: Don van den Bergh @.> Sent: Tuesday, September 7, 2021 9:17 AM To: jasp-stats/jasp-issues @.> Cc: Petr Bujok @.>; Mention @.> Subject: Re: [jasp-stats/jasp-issues] Some features to improve JASP (#1407)
Hi @PetBujhttps://github.com/PetBuj Thanks for the suggestions!
You can do a MANOVA for this purpose. A MANOVA takes the correlation between the dependent variables into account whereas multiple independent ANOVAs ignore this.
Good idea!
Bayesian linear regression does this. In a frequentist setting, this is a bit more tricky because it can blow up the type-I error rate.
Could you elaborate a bit on this? Is there a reference or R package that implements this so I can take a look or forward it to other members of the team?
Good idea!
This is on our to-do list. Some time-series methods should be available in the upcoming release.
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@PetBuj Time-Series modules have been implemented. But the following items not. I checked in jasp 0.18.3:
Maybe you can rename the issue to "non-hierarchical clustering improvements"
N/A