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Add a Pluto notebook to docs #34
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docs/notebook.jl
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| md"And now simulate a few thousand cases." | ||
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| # ╔═╡ cd924f92-76eb-11eb-3275-eb4f55282d5d | ||
| sim = parametricbootstrap(MersenneTwister(12321), 5000, m0; β=β, σ=σ, θ=θ); |
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Would it make sense to look at DataFrame(first(sim.coefpvalues)) to show what the (fixed of effects of the) mixed model looks like?
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Sure. I was just exploring somewhat here so my choice of what to show and what not to show was somewhat arbitrary.
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@palday Do you think we should keep the section that activates a |
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This is exactly what I've been toying with. I think some of the issues I'm having are related to precompilation issues that I don't seem to have outside of Pluto. I guess it would be good to have a 'normal' Windows and a 'normal' Mac user try out both routes and comment which is easier. |
I agree. I have several questions:
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I think this is the future of graphics in Julia. It's not yet full ggplot2 level, but basic plots work and more advanced plots can be assembled via Makie primitives. (And doing so is no more effort than the equivalent steps with Gadfly or Plots).
I think power is definitely something to have, but it might be worthwhile to use the density plots showing what that actually means. Might be a good point to review what Type I and II error are. I also really like inference based on intervals + an a priori precision goal (John Kruschke describes his take on this as "the Bayesian New Statistics", but the proposal could be frequentist). |
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@dmbates Still tinkering here or should we I review and merge? |
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Still tinkering. I don't expect this branch to be merged - I am just trying out some approaches. |
docsdirectory.<shift>-<enter>and have the simulation redone.