The design of the polynomial model of sc.set.poly().
Value
An object of class MatrixDesign: the design of the polynomial
model, which sc.set.poly() stores in the Design slot of a
ScMaSigPro object, with the offsets that sc.p.vector() adds.
predictors() and pathAssign() return its matrices.
Details
validObject() checks that assignment_matrix has the rows of
predictor_matrix (one per bin), that offset is empty or has one value
per row and that groups.vector has one value per column of
predictor_matrix.
Slots
predictor_matrixThe design matrix: one row per bin, one column per term (
predictors()).groups.vectorThe path of each column of
predictor_matrix: the reference path for its powers of pseudotime,<path>vs<ref>for the terms of another path.assignment_matrixThe path assignment matrix: one row per bin, with the binned pseudotime, a replicate index and a 0/1 column per path (
pathAssign()).offsetThe offset of each bin, the logarithm of its size factor (see
sc.p.vector()), or an empty vector when the fits used no offset or no fit was made yet.
See also
Other classes:
Estimates,
ParameterConfig,
ScMaSigPro,
Significant,
VariableProfiles,
updateObject,ScMaSigPro-method
Examples
data("scmp.ob", package = "scMaSigPro")
head(predictors(scmp.ob))
#> Path2vsPath1 scmp_binned_pseudotime scmp_binned_pseudotimexPath2
#> Path1_bin_1 0 1 0
#> Path1_bin_2 0 2 0
#> Path1_bin_3 0 3 0
#> Path1_bin_4 0 4 0
#> Path1_bin_5 0 5 0
#> Path1_bin_6 0 6 0