Spatial Component Analysis


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Documentation for package ‘spots’ version 0.1.0

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spots-package spots: Spatial Component Analysis
available.data Available data
BivariateMoransI Bivariate Moran's I
BivariateMoransIStats Bivariate Moran's I statistics
FitMoransI Fitted values of Moran's I
HnnImpute Hexagonal nearest neighbor based imputation
HnnNeighbor Hexagonal nearest neighbor
HnnWeight Hexagonal nearest neighbor weight
IrregularData Process irregular data shape (between two groups) for Moran's I
IrregularMoransI Moran's I between two groups (irregular data shape)
LeeL Bivariate Moran's I using Lee's L measurement
LoadData Load selected data
LocalGi Local Getis-Ord Gi or Gi* statistics for spatial hot spot analysis
LocalMoransI Local Moran's I
LocalMoransIStats Local Moran's I statistics
OLSMoransI Moran's I using ordinary least squares (OLS)
PermutationCorr Permutation based p-value for Pearson's correlation coefficient
PermutationGi Permutation based Getis-Ord Gi or Gi* statistics for spatial hots pot analysis
PermutationLocalI Permutation based local Moran's I
PermutationMoransI Permutation based Moran's I
SCA Spatial Component Analysis
SpatialXCorr Spatial cross-correlation
UnivariateMoransI Univariate Moran's I
VisiumHnn 10x Genomics Visium hexagonal nearest neighbor
WartenbergM Bivariate Moran's I using Wartenberg's M matrix
ZPvalue P-value of Z scores
_PACKAGE spots: Spatial Component Analysis