Search found 5 matches
- Sun Dec 05, 2021 8:59 pm
- Forum: Help
- Topic: Trying to replicate EFA in R
- Replies: 1
- Views: 2024
Trying to replicate EFA in R
I'm basically trying to get at what's under the hood of the jamovi EFA command by seeing if I can replicate it with the psych R package, which I read was what's being run with the jamovi EFA wrapper. Basically, I managed to write the following: efa = fa(data, fm = "minres", nfactors = fa.p...
- Thu Jun 24, 2021 5:44 am
- Forum: Help
- Topic: Different Cohen's d depending on App or R
- Replies: 7
- Views: 7347
Re: Different Cohen's d depending on App or R
Everything's coming out great now, thank you Jonathon!
- Thu Jun 24, 2021 3:28 am
- Forum: Help
- Topic: Different Cohen's d depending on App or R
- Replies: 7
- Views: 7347
Re: Different Cohen's d depending on App or R
Ah I see now that the one from CRAN is v.1.2 instead of the newest one! I updated the version to the newest version but now I'm getting the following error: Error: 'OptionOutput' is not an exported object from 'namespace:jmvcore' I'm not sure what the problem can be, I tried multiple things, like ch...
- Wed Jun 23, 2021 4:46 am
- Forum: Help
- Topic: Different Cohen's d depending on App or R
- Replies: 7
- Views: 7347
Re: Different Cohen's d depending on App or R
Hi Jonathon, Thanks for the response! Sorry, to clarify, I'm running the exact same jmv ANOVA on R using the jmv syntax (where I copy the syntax that the jamovi program gives me and paste it in R which makes it a bit easier for just record purposes). So when I run the analysis in the jamovi program,...
- Wed Jun 23, 2021 2:24 am
- Forum: Help
- Topic: Different Cohen's d depending on App or R
- Replies: 7
- Views: 7347
Different Cohen's d depending on App or R
I'm not sure if this has been posted before but I noticed that getting the effect size for pairwise comparisons in ANOVA directly through the jamovi program yields different results from running the exact same analysis through R. For instance, one of the pairwise comparisons has VAR1 (n = 75) with M...