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    "is.qe.data",
    "is.qe.horizon",
    "is.qe.metadata",
    "is.qe.unit",
    "namesToAdjacencyKey",
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    "rules",
    "simple_window",
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    "view",
    "windows_weights"
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        "NewC.Change",
        "C.Change",
        "Timestamp",
        "ActivityNumber",
        "GroupName",
        "GameHalf",
        "GameDay",
        "text",
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        "Technical.Constraints",
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        "Design.Reasoning",
        "Collaboration",
        "Context"
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      "tojson": true
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      "title": "Coded Rescushell multi-modal Data",
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      "class": [
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        "data.frame"
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        "Unnamed: 0",
        "site",
        "userID",
        "chatGroup",
        "roomName",
        "aveReading",
        "timeStamp",
        "role",
        "content",
        "duration",
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        "Design.based.decision.making",
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        "Technical.Constraints",
        "Data",
        "Condition"
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      "rows": 6641,
      "table": true,
      "tojson": true
    },
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      "title": "Sample Data",
      "object": "test_mockdata",
      "class": [
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        "data.frame"
      ],
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        "userID",
        "role",
        "modality",
        "timeStamp",
        "chatGroup",
        "condition",
        "language",
        "handwriting",
        "A",
        "B",
        "C"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_reddit",
      "title": "Sample Data",
      "object": "test_reddit",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X.1",
        "X",
        "id",
        "structure",
        "post_date",
        "comm_date",
        "author",
        "user",
        "comment",
        "URL",
        "ID",
        "parentID",
        "politics",
        "TooSoon",
        "Spread",
        "Economy",
        "Mask",
        "Vaccine",
        "LetsOpen"
      ],
      "rows": 463,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_reddit2",
      "title": "Sample Data",
      "object": "test_reddit2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "NCODER_ID",
        "PostNum",
        "ID",
        "Author",
        "Text",
        "Submission",
        "ParentID",
        "Type",
        "LetsOpen",
        "Economy",
        "TooSoon",
        "Politics",
        "Spread",
        "Author2"
      ],
      "rows": 776,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_smalldata",
      "title": "Sample Data",
      "object": "test_smalldata",
      "class": [
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      ],
      "fields": [
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        "Condition",
        "Context",
        "Timestamp",
        "A",
        "B",
        "C"
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      "table": true,
      "tojson": true
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      "page": "cash-.network.matrix",
      "title": "Extract Metadata or Columns from Network Matrix (S3 method)",
      "topics": [
        "$.network.matrix"
      ]
    },
    {
      "page": "accumulate",
      "title": "Accumulate Connections from a Multidimensional Array and Context Model",
      "topics": [
        "accumulate"
      ]
    },
    {
      "page": "accumulate_contexts",
      "title": "accumulate_contexts",
      "topics": [
        "accumulate_contexts"
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    },
    {
      "page": "accumulate_networks",
      "title": "fast accumulate networks",
      "topics": [
        "accumulate_networks"
      ]
    },
    {
      "page": "accumulate_threads",
      "title": "accumulate_threads",
      "topics": [
        "accumulate_threads"
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    {
      "page": "adjacency_key",
      "title": "Adjacency Key",
      "topics": [
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      "topics": [
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    {
      "page": "as.character.adjacency.key",
      "title": "Convert Adjacency Key to Character (S3 method)",
      "topics": [
        "as.character.adjacency.key"
      ]
    },
    {
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      "title": "Convert Adjacency Key to Double (S3 method)",
      "topics": [
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    },
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      "page": "as.matrix.ena.matrix",
      "title": "Matrix without metadata",
      "topics": [
        "as.matrix.ena.matrix"
      ]
    },
    {
      "page": "as.matrix.network.connections",
      "title": "Convert Network Connections to Matrix (S3 method)",
      "topics": [
        "as.matrix.network.connections"
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    },
    {
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      "title": "Re-class vector as network.connection",
      "topics": [
        "as.network.connection"
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    },
    {
      "page": "as.qe.code",
      "title": "Convert a vector to 'qe.code' class",
      "topics": [
        "as.qe.code"
      ]
    },
    {
      "page": "as.qe.data",
      "title": "Convert an object to 'qe.data' class",
      "topics": [
        "as.qe.data"
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    },
    {
      "page": "as.qe.horizon",
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      "topics": [
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    },
    {
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      "title": "Convert a vector to 'qe.metadata' class",
      "topics": [
        "as.qe.metadata"
      ]
    },
    {
      "page": "as.qe.unit",
      "title": "Convert a vector to 'qe.unit' class",
      "topics": [
        "as.qe.unit"
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    },
    {
      "page": "as.undirected.vector",
      "title": "Extract Upper Triangular Elements",
      "topics": [
        "as.undirected.vector"
      ]
    },
    {
      "page": "as.unordered",
      "title": "Convert to Unordered Factor",
      "topics": [
        "as.unordered"
      ]
    },
    {
      "page": "as.unordered.default",
      "title": "Default Method for as.unordered",
      "topics": [
        "as.unordered.default"
      ]
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    {
      "page": "as.unordered.ordered.ena.connections",
      "title": "Unorder Connections in a Matrix",
      "topics": [
        "as.unordered.ordered.ena.connections"
      ]
    },
    {
      "page": "as.unordered.ordered.row.connections",
      "title": "Convert Ordered Row Connections to Unordered (S3 method)",
      "topics": [
        "as.unordered.ordered.row.connections"
      ]
    },
    {
      "page": "choose_two",
      "title": "n choose 2",
      "topics": [
        "choose_two"
      ]
    },
    {
      "page": "colSums.ena.matrix",
      "title": "Column Sums for ENA Matrices (S3 method)",
      "topics": [
        "colSums.ena.matrix"
      ]
    },
    {
      "page": "context_tensor",
      "title": "Generate a multidimensional array for window and weight parameters",
      "topics": [
        "context_tensor"
      ]
    },
    {
      "page": "contexts",
      "title": "Create Contexts for Units of Analysis",
      "topics": [
        "contexts"
      ]
    },
    {
      "page": "conversation_rules",
      "title": "Conversation rules",
      "topics": [
        "conversation_rules"
      ]
    },
    {
      "page": "decay",
      "title": "Internal: Decay function factory (legacy)",
      "topics": [
        "decay"
      ]
    },
    {
      "page": "find_meta_cols",
      "title": "Find metadata columns",
      "topics": [
        "find_meta_cols"
      ]
    },
    {
      "page": "hoo",
      "title": "Apply a Subsetting Rule to TMA Contexts (Internal)",
      "topics": [
        "hoo"
      ]
    },
    {
      "page": "is.qe.code",
      "title": "Check if an object is of class 'qe.code'",
      "topics": [
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    },
    {
      "page": "is.qe.data",
      "title": "Check if an object is of class 'qe.data'",
      "topics": [
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    },
    {
      "page": "is.qe.horizon",
      "title": "Check if an object is of class 'qe.horizon'",
      "topics": [
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    },
    {
      "page": "is.qe.metadata",
      "title": "Check if an object is of class 'qe.metadata'",
      "topics": [
        "is.qe.metadata"
      ]
    },
    {
      "page": "is.qe.unit",
      "title": "Check if an object is of class 'qe.unit'",
      "topics": [
        "is.qe.unit"
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    },
    {
      "page": "names.network.connections",
      "title": "Title",
      "topics": [
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    },
    {
      "page": "namesToAdjacencyKey",
      "title": "Names to Adjacency Key",
      "topics": [
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    {
      "page": "print.network.matrix",
      "title": "Print Method for Network Matrix (S3 method)",
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    {
      "page": "remove_meta_data",
      "title": "Remove meta columns from a data.table or data.frame",
      "topics": [
        "remove_meta_data"
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    },
    {
      "page": "RS.data",
      "title": "Coded Rescushell Chat Data",
      "topics": [
        "RS.data"
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    {
      "page": "RS.data.multimodal",
      "title": "Coded Rescushell multi-modal Data",
      "topics": [
        "RS.data.multimodal"
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    {
      "page": "rules",
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      "topics": [
        "rules"
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    },
    {
      "page": "simple_window",
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        "simple_window"
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    {
      "page": "test_mockdata",
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      "topics": [
        "test_mockdata"
      ]
    },
    {
      "page": "test_reddit",
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    },
    {
      "page": "test_reddit2",
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    },
    {
      "page": "test_smalldata",
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      "topics": [
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    },
    {
      "page": "tma",
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      "topics": [
        "tma"
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    },
    {
      "page": "tma.conversations",
      "title": "Find conversations by unit",
      "topics": [
        "tma.conversations"
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    },
    {
      "page": "units",
      "title": "Set Units of Analysis for a TMA Model",
      "topics": [
        "units"
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    },
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      "page": "view",
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      "topics": [
        "view"
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    },
    {
      "page": "windows_weights",
      "title": "Deprecated Alias for context_tensor",
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