plotHigherOrderSequence | R Documentation |
the plotHigherOrderSequence function plots weighted higher order statistic vectors (stored in higherOrderSequence) as line plots
plotHigherOrderSequence(
scHOT,
gene,
positionType = NULL,
branches = NULL,
positionColData = NULL
)
scHOT |
A scHOT object with higherOrderSequence in scHOT_output slot |
gene |
is either a logical vector matching rows of entries in wcorsList, or a character of a gene |
positionType |
A string indicates the position type, either trajectory or spatial |
branches |
A character indicates that the colnames stored the branch information in colData (for trajectory type of data) |
positionColData |
A vector indicates column names of colData that stored the postion informaton (for spatial type of data) |
ggplot
object with line plots
data(liver)
scHOT_traj <- scHOT_buildFromMatrix(
mat = liver$liver_branch_hep,
cellData = list(pseudotime = liver$liver_pseudotime_hep),
positionType = "trajectory",
positionColData = "pseudotime")
scHOT_traj
plotColouredExpression(scHOT_traj, c("Cdt1","Top2a"), n = 5)
scHOT_traj <- scHOT_addTestingScaffold(scHOT_traj,
t(as.matrix(c("Cdt1", "Top2a"))))
scHOT_traj <- scHOT_setWeightMatrix(scHOT_traj,
positionColData = c("pseudotime"),
positionType = "trajectory",
nrow.out = NULL,
span = 0.25)
scHOT_traj <- scHOT_calculateGlobalHigherOrderFunction(scHOT_traj,
higherOrderFunction =
weightedSpearman,
higherOrderFunctionType =
"weighted")
scHOT_traj <- scHOT_calculateHigherOrderTestStatistics(scHOT_traj,
higherOrderSummaryFunction =
sd)
slot(scHOT_traj, "scHOT_output")
plotHigherOrderSequence(scHOT_traj, c("Cdt1_Top2a"))
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