The models that sc.t.fit() selected.
Value
An object of class Estimates: the selected model of each gene,
which sc.t.fit() stores in the Estimate slot of a ScMaSigPro
object. showSol() and the other result readers return its matrices.
Details
validObject() checks that t_score_matrix has the shape and rows of
coefficient_matrix, that path_coefficient_matrix has its rows, and
that every row of significance_matrix is a row of coefficient_matrix.
Slots
significance_matrixFor each gene with a significant selected model, its p-value and R-squared and the p-value of each term (
showSol()).coefficient_matrixThe coefficients (
showCoeff()).path_coefficient_matrixThe coefficients of the polynomial of each path (
showGroupCoeff()).t_score_matrixThe t statistics (
showTS()).pathThe path of the intercept and of each term.
influentialThe genes with influential observations (
showInflu()).
See also
Other classes:
MatrixDesign,
ParameterConfig,
ScMaSigPro,
Significant,
VariableProfiles,
updateObject,ScMaSigPro-method
Examples
data("scmp.ob", package = "scMaSigPro")
head(showCoeff(scmp.ob))
#> beta0 betaPath2vsPath1 betascmp_binned_pseudotime
#> Gene2 8.681729 0.0000000 0.00000000
#> Gene3 5.385045 0.0000000 -0.12620378
#> Gene4 6.886018 0.0000000 0.00000000
#> Gene9 6.356073 0.1466414 0.08220353
#> Gene10 8.162824 0.0000000 -0.07631690
#> Gene11 8.114180 0.1254918 0.01301718
#> betascmp_binned_pseudotimexPath2
#> Gene2 -0.02510003
#> Gene3 0.11436465
#> Gene4 0.10643888
#> Gene9 -0.08657086
#> Gene10 0.19888853
#> Gene11 -0.02100285