How to plot ROPE with no Intercepts (cumulative model)

Question and context Hello, I was wondering if anyone has ideas about how to plot the ROPE analysis without plotting the intercepts.

here is what I tried that did not work:

percentage_in_rope1 <- rope(fit_sd, range=c(-0.1,0.1),ci=1)

percentage_in_rope1_2<- dplyr::filter(percentage_in_rope1, Parameter == "b_Hierarchy_ZeroSum")

plot(percentage_in_rope1_2)

I also discovered that you can call show_intercept=FALSE, but this isn't affecting the plots of my rope analysis.

@strengejacke Could we port the keep and drop arguments from parameters to the various bayestestR functions?

@strengejacke Could we port the keep and drop arguments from parameters to the various bayestestR functions?

Yes, we could do that. However, show_intercept = FALSE should be available, there seems to be a bug in the plot() method. @dontchaknowjo Do you have a reproducible example?

Yes thanks for asking. Let me know if you need anything else from me!

fit_interact_imp<- brm(important_manuscripts ~ Hierarchy_ZeroSum*self_MS_cooper+Identify+LogYears, data=TEST_data_S2, family=cumulative(probit), save_all_pars = TRUE, iter= 6000, warmup= 1000, thin= 1, inits = "0", prior=priors)

plot(rope(fit_interact),range=c(-0.1,0.1),ci=1,show_intercept=FALSE)+ ggplot2::labs(title = "Do you plan to share your next manuscript?")+xlim(-1,1)

On Sep 19, 2022, at 11:36 AM, Daniel @.***> wrote:

@strengejacke https://urldefense.com/v3/__https://github.com/strengejacke__;!!CzAuKJ42GuquVTTmVmPViYEvSg!KZAH-s5Wc4lrRUTuGeNfXMmSU4OyosZWlcQu8Z9NBlSVJS3UToRLY2Ik6kF-WmRReu27sSZNeJhyCApcmNEuBs0y$ Could we port the keep and drop arguments from parameters to the various bayestestR functions?

Yes, we could do that. However, show_intercept = FALSE should be available, there seems to be a bug in the plot() method. @dontchaknowjo https://urldefense.com/v3/__https://github.com/dontchaknowjo__;!!CzAuKJ42GuquVTTmVmPViYEvSg!KZAH-s5Wc4lrRUTuGeNfXMmSU4OyosZWlcQu8Z9NBlSVJS3UToRLY2Ik6kF-WmRReu27sSZNeJhyCApcmIbBaWsa$ Do you have a reproducible example?

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