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How are varying subgroup sample sizes handled?

You can use the 'limitN' parameter to specify a nominal sample size for control limits. To include all subgroups regardless of their size, set 'allN' to True. To enable tests for special causes with varying subgroup sizes, set 'testNStd' to True.

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On: boxChart

How does the Louvain algorithm work in this context?

The Louvain algorithm is a heuristic method for community detection. It iteratively optimizes modularity, a metric that measures the density of links inside communities as compared to links between communities. It involves two phases: first, finding small communities by optimizing modularity locally, and second, building a new network whose nodes are the communities from the first phase.

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On: community

verticesIn

specifies the input table containing vertices information. For more information about specifying the verticesIn parameter, see the common castable parameter.

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On: hypergroup

table.where

Specifies an expression for subsetting the input data.

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On: IdentifySpeakers

highDegree

specifies that the layout is initially determined without vertices with high degree, i.e. vertices with degree at least highdegree= times the number of vertices in the graph. Default: 0.75. Range: 0–1.

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On: hypergroup