Flexible methods for plotting posterior mean curves or samples of posterior mean curves.
1 2 3 4 |
X |
The representation(s) passed to |
fit |
The |
posterior_mean |
Logical. If TRUE (default) then the posterior mean curve is
plotting at the MAP estimates of all inferred parameters. If FALSE, then |
nsamples |
The number of new points at which to calculate the posterior mean curves. |
nnt |
Number of new pseudo time points at which to plot the posterior mean curves. |
point_colour |
The colour of the points (cells) to draw |
curve_colour |
The colour of the curves to draw |
point_alpha |
The alpha (opacity) of the points |
curve_alpha |
The alpha (opacity) of the curves. Note that this is just a suggested value and the function will choose an appropriate value depending on the number of samples to plot. This is chosen as (1 - α) * exp(1 - nsamples) + α. |
grid_nrow |
If more than one representation is present then they're plotted in a grid.
By default |
grid_ncol |
If more than one representation is present then they're plotted in a grid.
By default |
use_cowplot |
Logical. Determines whether to use |
standardize_ranges |
Logical. If plotting multiple representations it can be useful to have
x and y lims that don't depend on the fit (so plots align correctly). If this is set to FALSE,
|
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