networkformat2 days ago
Why networkformat? | Quick examples | Tabular data | The R network ecosystem | What's implemented | Currently available | Getting started
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Visualizing models as networks2 days ago
Decision tree | Random forest | Single tree from a forest | Course prerequisite network
Working with edgelists and nodelists2 days ago
Decision tree | edgelist() | nodelist() | Pairing edges and nodes for igraph | Visualizing the edgelist pipeline | Random forest | The treenum argument | Data frame | Multiple target columns | na.rm --- handling missing values | attr_cols --- selecting edge attributes | symmetric_cols --- marking undirected relationships | Note on tidygraph | Putting it together: course network | Graph statistics | Lists | S3 object fallthrough | Output reference | as.igraph() / as_tbl_graph()
networkformat7 months ago
Why networkformat? | Quick examples | Tabular data | The R network ecosystem | What's implemented | Currently available | Getting started
Visualizing models as networks7 months ago
Decision tree | Random forest | Single tree from a forest | Course prerequisite network
Working with edgelists and nodelists7 months ago
Decision tree | edgelist() | nodelist() | Pairing edges and nodes for igraph | Visualizing the edgelist pipeline | Random forest | The treenum argument | Data frame | Multiple target columns | na.rm --- handling missing values | attr_cols --- selecting edge attributes | symmetric_cols --- marking undirected relationships | Note on tidygraph | Putting it together: course network | Graph statistics | Lists | S3 object fallthrough | Output reference | as.igraph() / as_tbl_graph()