Examine trajectory-moddeling results — examineTrajectoryAssessment • SPATA

Visualizes the distribution of the assessment-scores (residuals-area-under-the-curve) of a trajectory.

examineTrajectoryAssessment(
  atdf,
  limits = c(0, 10),
  plot_type = "histogram",
  binwidth = 0.5,
  clrp = "milo",
  ...
)

Arguments

atdf	A data.frame containing the results of trajectory-modelling. Must contain the variables: variables Character. The genes, gene-sets and features that have been assessed. pattern Character. The respective trajectory pattern. auc Numeric. The assessment value which is the residual's area under the curve.
limits	The minimum and maximum auc-values to include. Given to `ggplot2::scale_x_continuous()`.
plot_type	One of 'histogram', 'density', and 'ridgeplot'.
...	additional arguments given to `ggplot2::facet_wrap()`.

Returns a ggplot-object that can be additionally customized according to the rules of the ggplot2-framework.