Description Usage Arguments Value See Also
Calculates the distance between the every point in both clusters. Including within their own clusters.
1 2 | total_distance(seurat_object, group, reduction = "pca", dims = 1:30,
distance = "euclidian", output = "seurat", method = "all")
|
seurat_object |
A seurat object |
group |
Seurat Categories or groups for which the distances between are calculated. Cell wise data. |
reduction |
Dimensionality reduction data to use |
dims |
Which dimensions to use |
distance |
Point to point distance to use. Options are "euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski" |
output |
Output type. Default is "seurat". Options are "seurat" (Seurat S4 object), "list" (List of tables by split_by), "seurat_list" (List of Seurat objects). Seurat objects returned have the distance data stored internally. |
method |
The number of cells in group 1 to test. This is done because calculating the total distance is often very computationally expensive. And by reducing the number of cells in group one can give an approximation of the final result without having to test all cells. Options are "one" ( calculate for one cell in group 1), "all" (calculate for all cells) |
List containing distances between groups per row
Other total_distance: PlotTotalDistance
,
total_linkage
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