jamovi

Thank you for your help!

Why can't I remove the point path for this violin plot?

It also seems that only the output for the categorical predictor is different in jamovi vs R - the output for the continuous predictor and their interaction are the same. Any help on what is causing this would be appreciated but also any insight on whether this will affect the power analysis using m...

I have now centered my continuous predictor using myvariable = scale(mydata$myvariable, center=TRUE, scale=TRUE) and set the contrast coding of my categorical predictor using (contrasts(mydata$myvariable)<- c(-0.5, +0.5)) and I am still getting different results in R versus Jamovi. I checked the con...

Thanks for your reply. I thought it might be due to centering - how can I mean center the variables in R? In terms of contrast coding, I haven't got the "<-X()" part of the code and I'm not entirely sure what this needs to be. Any help would be very much appreciated. Please let me know if ...

Hi, I am trying to run a power analysis in R (using mixedpower) for a mixed-effects model that I ran I initially ran in Jamovi. However, the output in R is different from what I got in Jamovi. It is a model with one categorical predictor, one continuous predictor, and two random intercepts. I have d...

Perfect, thank you for clarifying this!

Thanks for your response. I am hoping to assess the stability of the DV by looking at the variance/ICC data so will need to have it included as a random effect. Am I right in thinking that if I add 'condition | participant' as a random slope this would allow me to include condition as a fixed and ra...

Hi, Is there any way of looking at the random components of two different categories within a nominal variable? I have added my variable (condition) as a cluster variable and added a random intercept. I want to look at the variance/ICC for condition 1 versus 2 but at the moment I can only get this d...