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examples/CO24/table.jl
@@ -53,14 +53,18 @@ end
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end
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## Exact recovery
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+factor = quantile(Normal(), 0.975) / sqrt(metadata(df_mean_bands, "Number of simulations"))
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df_er = @chain df_mean_bands begin
- # value of interest is PER ± standard error
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+ # value of interest is PER ± standard confidence interval radius
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@rselect(
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:N = :parameter,
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:T = :T,
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:method = :method,
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:clustering = :clustering,
- :er = string(round_percent(:er_mean)) * " ± " * string(round_percent(:er_std)),
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+ :er =
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+ string(round_percent(:er_mean)) *
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+ " ± " *
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+ string(round_percent(factor * :er_std)),
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)
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# create a column with the combination of clustering and method to be able to unstack both at the same time
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@rtransform!(:col_name = string(:clustering, "_", :method))
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