extract predicted values

[Bethany Bethke]

Hello,

I'm trying to use the function 'extractPredictiveData' but I'm having some trouble. Right now I'm stuck at this error message: 

Error in (function (..., deparse.level = 1) : cannot coerce type 'closure' to vector of type 'list'

I've been trying to use the documentation to get through, but this has me puzzled:

# Generate posterior samples of TP, alpha and dNcPred 

# dNcPred stands for the predicted data dNc (nitrogen values of consumer) 

samples_d <- posteriorTP(model_d, variable.names = c("TP", "alpha", "dNcPred"), burnin = 5000, n.iter = 5000, thin = 10) 

# Extract posterior predictive data 

dNcPred <- extractPredictiveData(samples_predicted, get = "dNcPred")

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It definitely seems simple enough, except I'm not sure where the highlighted dataframe, samples_predicted, is generated. I thought we were to pass the dataframe generated by posteriorTP (samples_d). Where does samples_predicted come from?

Thanks!

Bethany