View source: R/scHOT_functions.R
scHOT_calculateHigherOrderTestStatistics | R Documentation |
Calculate and store the higherOrderSequence and higherOrderTestStatistic
scHOT_calculateHigherOrderTestStatistics(
scHOT,
higherOrderSummaryFunction = stats::sd,
...
)
scHOT |
A scHOT object |
higherOrderSummaryFunction |
A function which indicates how the higher order sequence is summarised, default is sd |
... |
parameters for higherOrderSummaryFunction |
scHOT A scHOT object with results stored in scHOT_output slot
data(MOB_subset)
sce_MOB_subset <- MOB_subset$sce_MOB_subset
scHOT_spatial <- scHOT_buildFromSCE(sce_MOB_subset,
assayName = "logcounts",
positionType = "spatial",
positionColData = c("x", "y"))
pairs <- matrix(c("Arrb1", "Mtor", "Dnm1l", "Gucy1b3"), ncol = 2, byrow = TRUE)
rownames(pairs) <- apply(pairs,1,paste0,collapse = "_")
scHOT_spatial <- scHOT_addTestingScaffold(scHOT_spatial, pairs)
scHOT_spatial <- scHOT_setWeightMatrix(scHOT_spatial,
positionColData = c("x","y"),
positionType = "spatial",
nrow.out = NULL,
span = 0.05)
scHOT_spatial <- scHOT_calculateGlobalHigherOrderFunction(
scHOT_spatial,
higherOrderFunction = weightedSpearman,
higherOrderFunctionType = "weighted")
scHOT_spatial <- scHOT_setPermutationScaffold(scHOT_spatial,
numberPermutations = 100)
scHOT_spatial <- scHOT_calculateHigherOrderTestStatistics(
scHOT_spatial,
higherOrderSummaryFunction = sd)
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