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    "interaction_variable",
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    "pair_correlation",
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        "data.frame"
      ],
      "fields": [
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        "race",
        "sex",
        "status",
        "deidentified_sample",
        "deidentified_id"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Example list of 5 spatial TMA data",
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      ],
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      "table": true,
      "tojson": true
    },
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      "object": "example_summary",
      "class": [
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        "tbl",
        "data.frame"
      ],
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        "deidentified_sample",
        "Total Cells",
        "FOXP3 (Opal 620) Positive Cells",
        "CD3 (Opal 570) Positive Cells",
        "CD8 (Opal 520) Positive Cells",
        "PD1 (Opal 650) Positive Cells",
        "PDL1 (Opal 540) Positive Cells",
        "CD3+ FOXP3+ Cells",
        "CD3+ CD8+ Cells",
        "CD3+ CD8+ FOXP3+ Cells",
        "CD3+ PD1+ Cells",
        "CD3+ PD-L1+ Cells",
        "CD8+ PD1+ Cells",
        "CD3+ CD8+ PD-L1+ Cells",
        "% FOXP3 (Opal 620) Positive Cells",
        "% CD3 (Opal 570) Positive Cells",
        "% CD8 (Opal 520) Positive Cells",
        "% PD1 (Opal 650) Positive Cells",
        "% PDL1 (Opal 540) Positive Cells",
        "% CD3+ FOXP3+ Positive Cells",
        "% CD3+ CD8+ Positive Cells",
        "% CD3+ CD8+ FOXP3+ Positive Cells",
        "% CD3+ PD1+ Positive Cells",
        "% CD3+ PD-L1+ Positive Cells",
        "% CD8+ PD1+ Positive Cells",
        "% CD3+ CD8+ PD-L1+ Positive Cells",
        "Area Analyzed (m)",
        "Area Analyzed (mm)"
      ],
      "rows": 229,
      "table": true,
      "tojson": true
    }
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    {
      "page": "bi_NN_G",
      "title": "Bivariate Nearest Neighbor G(r)",
      "topics": [
        "bi_NN_G"
      ]
    },
    {
      "page": "bi_pair_correlation",
      "title": "Bivariate Pair Correlation Function",
      "topics": [
        "bi_pair_correlation"
      ]
    },
    {
      "page": "bi_ripleys_k",
      "title": "Bivariate Ripley's K",
      "topics": [
        "bi_ripleys_k"
      ]
    },
    {
      "page": "bi_ripleys_k_WSI",
      "title": "Bivariate Ripley's K for Whole Slide Images",
      "topics": [
        "bi_ripleys_k_WSI"
      ]
    },
    {
      "page": "compute_metrics",
      "title": "Calculate Count Based Measures and NN Measures of Spatial Clustering for IF data",
      "topics": [
        "compute_metrics"
      ]
    },
    {
      "page": "create_mif",
      "title": "Create Multiplex Immunoflourescent object",
      "topics": [
        "create_mif"
      ]
    },
    {
      "page": "dixons_s",
      "title": "Dixon's S Segregation Statistic",
      "topics": [
        "dixons_s"
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    },
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      "page": "example_clinical",
      "title": "Clinical variables of 229 patients",
      "topics": [
        "example_clinical"
      ]
    },
    {
      "page": "example_spatial",
      "title": "Example list of 5 spatial TMA data",
      "topics": [
        "example_spatial"
      ]
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      "title": "Marker summaries of 229 samples",
      "topics": [
        "example_summary"
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      "page": "interaction_variable",
      "title": "Bivariate Interaction Variable",
      "topics": [
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    },
    {
      "page": "merge_mifs",
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      "topics": [
        "merge_mifs"
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    },
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      "page": "NN_G",
      "title": "Univariate Nearest Neighbor G(r)",
      "topics": [
        "NN_G"
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      "title": "Univariate Pair Correlation Function",
      "topics": [
        "pair_correlation"
      ]
    },
    {
      "page": "plot_immunoflo",
      "title": "Generate plot of TMA point process",
      "topics": [
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    },
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      "page": "ripleys_k",
      "title": "Calculate Ripley's K",
      "topics": [
        "ripleys_k"
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    },
    {
      "page": "subset_mif",
      "title": "Subset mif object on cellular level",
      "topics": [
        "subset_mif"
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    }
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      "title": "Introduction to spatialTIME",
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        "Background for Tissue Microarray (TMA) Data",
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      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/fridleylab/actions/runs/26808253052"
    }
  ]
}