# When a fitted a simple model, where is the raw data?

My data like this:

plot canopy date item value
20 ho May ppfd 0.29279095
19 ho May ppfd 0.123954839
43 ho May ppfd 0.259633055
44 ho May ppfd 0.251543658
10 bu May ppfd 0.102567214
9 bu May ppfd 0.099152069
34 bu May ppfd 0.092671325
33 bu May ppfd 0.099522834
12 bu May ppfd 0.09847836

and I fitted a very simple model using brms

``````fit_lightquatum_may<-brm(formula=value~canopy+(1|plot),
data=data_lightquatum_may,
seed=1,
prior=c(set_prior("",class="Intercept"),
set_prior("",class="sigma")),
chains=4,
iter=50000,
warmup=20000,
thin=1,
control = list(adapt_delta=0.99,max_treedepth = 15,stepsize=0.001)  )
``````

I want to compare the values between bu and ho, and try to plot the results like this:

I got all variables used this : get_variables(fit_lightquatum_may)

But I can not found the value of estimate (mean?) and 95% credible intervals of bu,

How can I found the estimate value of bu?

Thank you very much！

1 Like

Does

``````conditional_effects(fit_lightquatum_may)
``````

give you what you want?