> Reference > > dynwrap :: Creating a trajectory > Constructs a circular trajectory using the pseudotime values of each cell.

Constructs a circular trajectory using the pseudotime values of each cell.

This function will generate the milestone_network and progressions.

add_cyclic_trajectory(dataset, pseudotime, directed = FALSE,
  do_scale_minmax = TRUE, ...)

Arguments

dataset	A dataset created by `wrap_data()` or `wrap_expression()`
pseudotime	A named vector of pseudo times.
directed	Whether or not the directionality of the pseudotime is predicted.
do_scale_minmax	Whether or not to scale the pseudotime between 0 and 1. Otherwise, will assume the values are already within that range.
...	extra information to be stored in the wrapper.

Value

The trajectory

Examples

library(tibble)
dataset <- wrap_data(cell_ids = letters)

pseudotime <- tibble(cell_id = dataset$cell_ids, pseudotime = runif(length(dataset$cell_ids)))
pseudotime
#> # A tibble: 26 x 2
#>    cell_id pseudotime
#>    <chr>        <dbl>
#>  1 a           0.525 
#>  2 b           0.659 
#>  3 c           0.734 
#>  4 d           0.0529
#>  5 e           0.979 
#>  6 f           0.380 
#>  7 g           0.448 
#>  8 h           0.785 
#>  9 i           0.207 
#> 10 j           0.733 
#> # … with 16 more rows
trajectory <- add_cyclic_trajectory(dataset, pseudotime)

# for plotting the result, install dynplot
dynplot::plot_graph(trajectory)
#> Coloring by milestone
#> Using milestone_percentages from trajectory