Plot Distribution of Individual Estimates

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Description

Plots histograms of the mean posterior estimates for participants including the estimated shape on the group level (e.g., the beta distribution in case of the beta-MPT)

Usage

1
plotDistribution(fittedModel, scale = "probability", ...)

Arguments

fittedModel

fitted latent-trait or beta MPT model (traitMPT, betaMPT)

scale

only for latent-trait MPT: should estimates be plotted on the "latent" or the "probability" scale (i.e., as MPT parameters). Can be abbreviated by "l" and "p".

...

further arguments passed to hist (e.g., breaks=50 to get a more fine-grained histogram or xlim=0:1 to use the same x-scale for all histograms)

Details

Note that differences due to discrete factor levels are currently not considered in the group-level predictions (red line). Under such a model, individual estimates are not necessarily normally distributed as indicated in the plot.

See Also

plot.traitMPT