dynwrap always represents trajectories in the same way, as illustrated here with a tree trajectory
## # A tibble: 5 × 4
## from to length directed
## <chr> <chr> <dbl> <lgl>
## 1 Milestone_A Milestone_B 1 FALSE
## 2 Milestone_B Milestone_C 2 FALSE
## 3 Milestone_B Milestone_D 1 FALSE
## 4 Milestone_C Milestone_E 1 FALSE
## 5 Milestone_C Milestone_F 1.5 FALSE
## # A tibble: 10 × 3
## cell_id milestone_id percentage
## <chr> <chr> <dbl>
## 1 Cell_a Milestone_A 0.305
## 2 Cell_a Milestone_B 0.695
## 3 Cell_b Milestone_B 0.898
## 4 Cell_b Milestone_C 0.102
## 5 Cell_c Milestone_C 0.458
## 6 Cell_c Milestone_F 0.542
## 7 Cell_d Milestone_C 0.597
## 8 Cell_d Milestone_F 0.403
## 9 Cell_e Milestone_C 0.413
## 10 Cell_e Milestone_E 0.587
## # A tibble: 10 × 4
## cell_id from to percentage
## <chr> <chr> <chr> <dbl>
## 1 Cell_a Milestone_A Milestone_B 0.695
## 2 Cell_b Milestone_B Milestone_C 0.102
## 3 Cell_c Milestone_C Milestone_F 0.542
## 4 Cell_d Milestone_C Milestone_F 0.403
## 5 Cell_e Milestone_C Milestone_E 0.587
## 6 Cell_f Milestone_C Milestone_F 0.540
## 7 Cell_g Milestone_C Milestone_F 0.947
## 8 Cell_h Milestone_A Milestone_B 0.794
## 9 Cell_i Milestone_C Milestone_F 0.0148
## 10 Cell_j Milestone_C Milestone_F 0.883
## # A tibble: 3 × 3
## divergence_id milestone_id is_start
## <chr> <chr> <lgl>
## 1 Divergence_1 Milestone_B TRUE
## 2 Divergence_1 Milestone_C FALSE
## 3 Divergence_1 Milestone_D FALSE
These three objects (with either milestone percentages or
progressions) are enough to form a trajectory using
add_trajectory
.
Often, you don’t want to directly output the milestone network and percentages, but want to output an alternative representation that is converted by dynwrap to the common representation:
Check out the reference documentation for an overview and examples of the different wrappers