listw2sparse: Convert listw into sparse adjacency matrix
In pachterlab/SpatialFeatureExperiment: Integrating SpatialExperiment with Simple Features in sf
listw2sparse R Documentation
Convert listw into sparse adjacency matrix
Description
Edge weights are used in the adjacency matrix. Because most elements of the
matrix are 0, using sparse matrix greatly reduces memory use.
Usage
listw2sparse(listw)
Arguments
listw
A listw object for spatial neighborhood graph.
Value
A sparse dgCMatrix, whose row represents each cell or spot and
whose columns represent the neighbors. The matrix does not have to be
symmetric. If region.id is present in the listw object, then
it will be the row and column names of the output matrix.
Examples
library(SFEData)
sfe <- McKellarMuscleData("small")
g <- findVisiumGraph(sfe)
mat <- listw2sparse(g)
pachterlab/SpatialFeatureExperiment documentation built on Nov. 24, 2024, 3:44 p.m.
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| listw2sparse | R Documentation |
Convert listw into sparse adjacency matrix
Description
Edge weights are used in the adjacency matrix. Because most elements of the matrix are 0, using sparse matrix greatly reduces memory use.
Usage
listw2sparse(listw)
Arguments
listw |
A |
Value
A sparse dgCMatrix, whose row represents each cell or spot and
whose columns represent the neighbors. The matrix does not have to be
symmetric. If region.id is present in the listw object, then
it will be the row and column names of the output matrix.
Examples
library(SFEData)
sfe <- McKellarMuscleData("small")
g <- findVisiumGraph(sfe)
mat <- listw2sparse(g)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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